text:
Charlotte Region
6004 carson springs court
6004 Carson Springs Court Gastonia, NC 28056
Show Thumbnails
2 full,	1 half
CAR3812500
Newport Landing
Primary BR on Main
Don't let this one get away, it's the one you have been waiting for. Beautiful home located in a cul-de-sac offers lots of living space inside and out! This is a great home for entertaining and features a formal dining room. Great room has a fireplace/gas logs and is open to the spacious kitchen with solid surface counter tops and breakfast bar. Master suite is very large and will offer a nice retreat at the end of the day. Laundry room is conveniently located upstairs with the bedrooms. For those who work from home you will appreciate the office that overlooks the back yard. Lots of time will be spent in the sun room or out on the paver patio with a fire pit on cold winter nights. A portion of the back yard is fenced but property line goes all the way back almost to the trees on the hill. TV mounts stay and shelves in sunroom
Listing Brokerage Name
Wilkinson ERA Real Estate
$250 Annually
Electric Cooktop
Plumbed For Ice Maker
Attic Stairs Pulldown
Room Floor
Select a Point of Interest and Distance from the search form.
cramerton christian academy
gaston christian school
gaston day school inc
first wesleyan christian school
victory christian academy
st michael's catholic school
first assembly christian academy
stanley christian academy
carolina montessori academy
tabernacle christian academy
Community - Gastonia
Sale Price as (%) of Asking Price
Data compiled from available Multiple Listing Service sources.
Gastonia is considered one of the area's best places to live and work, boasting a pleasant combination of location, size and quality of life. Gastonia is the second-largest satellite city of the Charlotte area, enjoying a convenient proximity to the city.
Gastonia real estate is diverse and varied, as you will find a pleasant mixture of old and new properties along tree-lined streets. Gastonia's York Chester Historic District holds beautiful homes covered in a canopy of mature oak trees, while the mixed-use Loray Mill development hosts contemporary apartments in addition to surrounding remodeled homes. Gastonia has relatively affordable housing compared to nearby Charlotte. As the population of Gastonia is growing, housing in this satellite city is a good investment as home values are steadily increasing.
Lifestyle and Attractions
Gastonia enjoys close proximity to attractions, employment and big-city conveniences in Charlotte, but hosts a myriad of attractive qualities for residents and visitors alike. This large city with a population of more than 70,000 centers on its charming downtown district with local shops, popular restaurants and many cultural attractions.
Residents of Gastonia enjoy kayaking on the 80-acre lake at Rankin Lake Park, or taking a peaceful walk along its greenway trails. Other popular parks in the area include South Fork River Park, Lineberger Park, Crowders Mountain State Park, and many more. Other activities include golfing at Catawba Creek Golf Course, cheering on car races at the dirt tracks at Carolina Speedway, or whitewater rafting along the Catawba River running east of Gastonia. The Gastonia Grizzlies, a collegiate summer baseball team, is Gaston County's home team, attracting residents from all over.
Residents may shop at the local businesses downtown, head to Eastridge Mall located in Gastonia, or visit Charlotte for shopping, dining and entertainment. Historic and cultural museums in Gastonia include the Schiele Museum and James H. Lynn Planetarium, American Military Museum, James H. Lynn Planetarium, and more.
The community hosts a number of annual festivals and events, including Easter in the Backcountry, Schiele-o-ween, Beer Fest and their July 4th Festival. Performing arts venues include the Little Theatre of Gastonia and the Gaston Dance Theatre. The city's workforce reflects a mix of blue-collar and white-collar occupations, including manufacturing, office, retail, sales and management jobs. Major employers in Gastonia include Caromont Health, Parkdale Mills, and tenants of Gastonia Technology Park, including Owens Corning, Röchling Group and LANXESS. Otherwise, residents may commute to Charlotte, located approximately 30 miles away, for employment.
Nearby Schools and Higher Education
Gastonia has 22 public schools in the Gaston County Schools system, providing several options for residents. Additionally, there are six private schools in Gastonia, including the well-known Gaston Day School, a top-notch school in the community for more than 40 years. There are no institutions of higher learning within the boundaries of Gastonia, but there are two colleges nearby in Gaston County, including Belmont Abbey College and Gaston College. Additionally, there are a number of colleges and universities scattered throughout the Greater Charlotte Region.
The Catawba and Cherokee were the first inhabitants of Gastonia, but German, Dutch, English and Scots-Irish settlers occupied the area by the 1700s. The settlers attempted and failed at farming and were willing to work for a lower wage than their northern neighbors, which attracted many manufacturing companies to the area. Gastonia is named after William J. Gaston, who was a member of the U.S. Congress in the early 1800s and later sat on the North Carolina Supreme Court. He is also credited with writing North Carolina's official state song, "The Old North State".
For several years, the Gastonia area was a textile industry hub, but the end of World War I brought stress to the industry, as employers demanded increased productivity while lowering wages. These unfair working conditions inspired many labor strikes in Gastonia, the most noteworthy of which was the Loray Mill strike of 1929. This strike proved to be very successful in a lasting way, propelling the labor movement in its national development. The strikes eventually became the inspiration for a handful of books known as the Gastonia novels.
Approximate Distance to:
Uptown Charlotte: 23 Miles
Charlotte Douglas International Airport: 15.5 Miles
Hospitals:
CaroMont Regional Medical Center: 3.5 Miles
Carolinas Medical Center: 22.5 Miles
Novant Health Presbyterian Medical Center: 24 Miles
Major Highway:
US-74: Less Than a Mile
I-85: 2 Miles
More Community Info
Do you have questions or need financing advice?
Contact Allen Tate Mortgage today!
clientrelations.mortgage@allentate.com
Property Taxes (yearly)*
Insurance (yearly)*
*Results received from this calculator are designed for comparative purposes only. Certain values may be estimates.
Properties within a 1.02 mile radius and similar in price (± 10%)
3424 Southern Red Oak Lane
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2592 Bethesda Oaks Drive
3220 Bur Oak Drive
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{{/openHouse}}
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{{#price}}{{price}}{{/price}} MLS# {{mls}} {{#bed}}{{bed}}{{/bed}} {{#bathfull}}{{bathfull}}{{/bathfull}} {{#bathhalf}}{{bathhalf}}{{/bathhalf}} {{#sqft}}{{sqft}} SqFt{{/sqft}}
Request More Info or Schedule a Showing
Preferred Time Morning Lunch Afternoon Evening
I would like to learn more information about 6004 Carson Springs Court. Thank you
Data last updated: 01/19/22 2:58 AM.
Some properties that appear for sale on this website may subsequently have been sold and may no longer be available. All information provided is deemed reliable but is not guaranteed and should be independently verified. School assignments are subject to change. Please consult with the appropriate school system for student assignment.
Based on information submitted to the MLS GRID as of 01/19/22 at 02:58:08 AM. Listings courtesy of Canopy MLS as distributed by MLS GRID. All data is obtained from various sources and may not have been verified by broker or MLS GRID. Supplied Open House Information is subject to change without notice. All information should be independently reviewed and verified for accuracy. Properties may or may not be listed by the office/agent presenting the information.


text:
Q: Unobtrusive Validation on dynamic form I am calling an MVC controller which returns a razor view that has jQuery Validation and unobtrusive validation enabled.  Here is the code that fetches the view:
Target is the target div that the html will go into.  When target.html(result) is called, I get an error message: Uncaught TypeError: Cannot read property 'settings' of undefined jquery.validate.js:346
  $.ajax({
            type: "POST",
            contentType: "application/json",
            url: url,
            async: false,
            data: JSON.stringify(data)
        }).success(function (result) {
            var form = $(document).find("form");
            target.html(result);
            $.validator.unobtrusive.parse("#" + form.attr("id"));
        }).fail(function(result) {
           //
        });

I've tried to reparse with  $.validator.unobtrusive.parse("#" + form.attr("id"));, but the error happens before that line can run.
Any suggestions?  Is there a way to temporarily disable unobtrusive validation?

redpajama_set_name: RedPajamaStackExchange


First, how have i not heard of this game before now?!?
I haven't gotten all the way through the video yet, much less actually tried it, but it's described as and sure looks like what Master of Orion 3 ought to have been!!!
This is a music video someone put together using audio clips from speeches by members of the "UK Independence Party", who sound to be about as conservative and reactionary as US Republicans have gotten. It's a pretty awesome edit, even if the subject is a bit worrying.
For anyone who doesn't pay attention to such things it may surprise you to know that we don't really have a perfect understanding of how airplanes work. There's the popular explanation that usually gets told to people, which is at least partially wrong, and several other alternative explanations, most of which are at least partially wrong. From what i've read it's theoretically possible to completely model the airflow around a wing (or any other object) but it's the kind of computation that can bring even a supercomputer to its knees. So actual airplane design is a combination of simplified models, educated guesses, and a whole lot of prototyping and testing. So i appreciate that this video, while explaining how airplanes work in general, alludes to the underlying uncertainty about the specifics of the mechanics.
Our upstairs neighbors aren't that bad (though there are definitely some noises we can't quite identify,) but this is still kinda amusing.


We enjoy to be used by God, but sometimes it feels like nothing is happening. This little devotion was useful enough for me to share with you. I hope that it will also be a blessing for you as it has been for me.
I have been thinking a lot about the subject of guidance, and I am convinced more and more that it requires great simplicity of spirit to be able easily and clearly to discern the Voice that speaks so gently in our hearts. We must be in the hands of God, as Madame Guyon says, something "like a toy in the hands of a child" used or laid aside just as He pleases, brought out to be admired, or hidden away on the shelf, made to serve pleasant uses, or applied to disagreeable ends and, like a toy, careless of our own hopes of judgments, must desire nothing but to fulfill all the good pleasures of His will!
No doubt, if the toy were able to reason, it would often feel that it was used for very useless purposes and would feel that it could arrange far better for itself but the end of a toy is to give pleasure to its possessor and it is of no consequence how this end is attained. So our end, dear Abby, is to please our Lord and Master and to bring glory to His Name, and we have no need to trouble ourselves as to how He brings this about. The realization of this will save us a lot of anxious questioning. Moment by moment we will hang upon His leading, never stopping to reason as to why we should do this or that, never troubled if it seems to produce results, not even anxious if it seems to have been a mistake concerned still only for one thing, and that is to please our Lord now, in the present moment. And having pleased Him, we have nothing more to do with that act.
I do not believe that light is ever promised for a past step, nor for a future one; for God emphatically wants us to live in the present, moment by moment. And so, darling friend, let me beg you to rest quietly in your Saviour feeling your utter helplessness but His infinite strength!
Hannah Whitall Smith and Melvin Easterday Dieter, The Christian's Secret of a Holy Life: The Unpublished Personal Writings of Hannah Whitall Smith (Oak Harbor: Logos Research Systems, Inc., 1997).


text:
Q: Need to add the cells if it is blank means blank if the sum is morethan 2 type as 1 and if sum is equal to 2 type as 0.5 else 0 I need to add up the cells. If it is blank - means blank, if the sum is more than 2 - type as 1, and if sum is equal to 2 - type as 0.5, otherwise 0.
Even if it's blank, I'm getting 0.
=IF(ISBLANK('period wise'!CF5),"",IF(SUM('period wise'!CF5:CI5)>2,"1",IF(SUM('period wise'!CF5:CI5)=2,"0.5","0")))

A: It works fine testing it. I think the cell referred to is showing no data, but contains a formula. To Excel that means it's not blank. You can refer to it as if =IF(LEN('period wise'!CF5)=0,"",IF(SUM('period wise'!CF5:CI5)>2,1,IF(SUM('period wise'!CF5:CI5)=2,0.5,0)))
PS I also removed the "'s around the results, not sure why you would want the numbers to output as text.


text:
Meienberg is a surname. Notable people with the surname include:

Niklaus Meienberg  (1940–1993), Swiss writer and journalist
Peter Hildebrand Meienberg (1929–2021), Swiss Benedictine missionary

See also
Merenberg

Surnames of Swiss origin

redpajama_set_name: RedPajamaWikipedia


text:
Ibrahim Muzaffer (born 25 March 1953) is a Kuwaiti judoka. He competed at the 1976 Summer Olympics and the 1980 Summer Olympics.

References

1953 births
Living people
Kuwaiti male judoka
Olympic judoka of Kuwait
Judoka at the 1976 Summer Olympics
Judoka at the 1980 Summer Olympics
Place of birth missing (living people)


Germany - like many other countries - relies strongly on energy imports. Cost of imports from energy carriers burden trade balance annually by nearly 100 billion Euro - with continuous upward trend.
Space and Energy - Real Estate!
What does account primarily for the value of real estate? - Space provided on earth cannot be enlarged.
Similar does happen to energy, too: Energy may be converted between different forms, but will never increase by conversion.
Regenerative energies like solar and wind energy are quite comparable to agricultural cultivation: They are harvested. The larger the area, the more extensive the yield.


The Lair of Sword & Sorcery game began as a handful of articles spread across several issues of the LoSS magazine.
Since then it has been added to, and expanded to become a full game in it's own right.
The LoSS Core Rulebooks not only reprint the game info from the magazine but have been playtested and expanded to become full publications. Check them out today to start on your Road to Adventure!


TrainingAndSeminars.com now lists teleseminars (audio conferences) for visitors seeking training available from their own office.
Public scheduled instructor led training has been the staple product for TrainingAndSeminar.com. In addition to the public-schedule classes and on-site training options, we proudly announce that teleseminars are also listed on TrainingAndSeminars.com.
Teleseminars or audio conferences are similar to public-schedule instructor led seminars, in that they are live, interactive and are held on a specified day and time. However, teleseminars have some distinct advantages to standard seminars.
There are different 'rules' for attendance, payment, and such that are set by each training provider, so when you view information about a teleseminar, make sure you view the restrictions set by the training provider.
In short, teleseminars are convenient way to train at your office, and in most cases to train many people all at once, cost effectively.


text:
LGiU
About LGIU
Global-Local Pandemic Bulletin
Facts and figures: England
Facts and figures: Scotland
Facts and figures: Ireland
Facts and figures: Australia
Home > Blog > A fraud in a Hawaiian shirt?
8th June 2020 England & Wales, Scotland Health and social care
A fraud in a Hawaiian shirt?
By Steve Palmer
Image: Steve Palmer
This week is Carers Week which aims to highlight the challenges faced by unpaid carers across the country. Lockdown has ramped up those challenges and ended what minimal support there was. Carer Steve Palmer writes for us about the situation.
I cannot emphasise enough the importance that Hawaiian shirts have played in my life since lockdown. I've got a friend called Rob who reckons that men over the age of 40 shouldn't wear T shirts with writing on. I agree but was then left in quandary as to what to wear to my summer music festival. The answer? Hawaiian shirts. They look good but don't include a naff or annoying statement.
And then this year we got placed into lockdown. By definition, the opposite of a festival. There's been little call for Hawaiian shirts; because it's been very stressful. I feel like a total fraud writing this blog. Yes, I'm a carer for my son, who is 18 and has learning disabilities and challenging behaviour. But, in the same house where we both live, I've also been working during the pandemic.
Support required
If you'd have told me in January that I would work from home from about 20 March for an undetermined period of time, whilst my Stan's school was closed and he couldn't access any of his usual activities (except online) I'd have laughed long and hard at the nonsense of the notion.
But it's come to pass. And I've continued working, as has my wife. Early on in the lockdown though it was clear that we needed help. Stan's brother and his nieces have supplemented the online school lessons he has. They are a lifeline and without them I would have had to ask to go on furlough. When you're a carer and you have an extended family that cares with you, life is easier. But we've heard of people living in hot flats, trying to quell the chaos that lockdown has brought about. In many ways I'm lucky.
So, am I really a carer? Well, it's nearly 2021 and that means it's almost time for the Census. I remember being shocked in 2011 when we filled in the Census and inputted the hours we performed caring duties; and surprised that I had any time left for sleeping or eating. It was a moment I won't forget. As a carer you can be tethered to the person you care about and love. And that can make you resentful. And lockdown is worse. We just about cope when we go to work and we have school and activities. People talk about the 'new normal' but our move to that new normal has been quite painful.
Missing football
I usually have a weekly night off from being a carer by playing football and then going to the pub. Since lockdown, I've been doing Zoom calls with my football friends, sitting at the same desk where I work, with the threat of Stan breaking in at any moment. It's heart-breaking to have to have the 'mute' button on permanently because Stan makes noises most of the time.
And yet, we carers love the people we care for. Stan and his brother are my sons and they make my heart miss a beat when I think about them. Love for your children is overwhelming; but, sadly, it can also be overwhelming to be a carer with responsibilities, resentments and reasons to apologise to colleagues for interruptions. And then I feel guilty for writing that because there are things that Stan does every day that we were told, at birth, he wouldn't do. Being a carer can make you have a range of emotions.
So, sometimes I feel like a fraud in a flowery top. Maybe I should give myself a break. Because, as an extended family, we should all take a step back this Carers Week and, whatever happens with the pandemic, feel some pride that we have done unbelievable things; and in my case this includes wearing a Hawaiian shirt with pride.
Steve tweets as @downs_dad_uk
Steve sends a quirky Friday newsletter about learning disability and autism. If you want to subscribe email palmersteve@gmail.com
2 thoughts on "A fraud in a Hawaiian shirt?"
Roseann Connolly says:
Being a carer can make you have a range of emotions. Thanks for sharing – I've been though a kaleidoscope of emotions during these last weeks.
Thanks for sharing glad to know I'm not the only one.
I help run a group in Hounslow 'Autism Hounslow' and I've been wondering whether what I do matters – whether it's a waste of time or not. That's my dark moments. When I feel brighter I know it's worth it and that the effort is appreciated and that we are stronger together.
Janet Sillett says:
Roseann
Thank you so much for your response to Steve's blog. We will be publishing another blog tomorrow (11 June) from Philippa Russell who is also a carer and is Vice-President of Carer's UK. I have been really moved by their two accounts of caring during the lockdown and how difficult it can be. I hope to write a briefing looking at all you do and how dependent the care system is on family carers and how much support should be given and sometimes isn't.
I'll send your reply to Steve – it was a guest blog.
Leave a Reply to Janet Sillett Cancel reply
'Build Back Fairer: The COVID-19 Marmot Review' – the pandemic, socioeconomic and health inequalities in England
In February 2020 Professor Marmot described how health inequalities in England have increased over the last ten years. His December follow-up report details how Covid-19 and the response to it have had the greatest impact on people already experiencing health inequalities, and how this will widen the gap even more.
Covid-19 New Year 2021 statistics update
This briefing updates information provided in 2020 briefings (see related briefings) on the main sources of statistics on the Covid epidemic. The focus is on data available on a UK-wide basis, but as before, more localised data sources are signposted.
Innovative ways of supporting children and young people's mental health during the pandemic
This briefing summarises evidence about how the pandemic has influenced children and young people's mental health to help to inform local service development plans to ensure the best outcomes for children and young people in both the short and longer term.
LGIU (Local Government Information Unit)
has offices in England, Scotland and Ireland.
e: info@lgiu.org
About LGIU England & Wales
About LGIU Scotland
About LGIU Ireland
About LGIU Australia
Don't miss out on any of our local government posts, research and events. If you are a member make sure you receive Daily News and members only briefings and reports.

redpajama_set_name: RedPajamaCommonCrawl


text:
Q: Formidable doesn't work outside localhost I've made a basic file uploader website using formidable. The file uploader works on my localhost, however when other devices use my website to upload files it doesn't work and I get an error from await fs.writeFile(newPath, rawData);. I checked formidable's files object and the files.name property was set to '' (it's set to the name of the file when I upload, but when other devices upload it's set to ''). Additionally when other devices upload, the file at the path files.path is always empty.
import express from "express";
import path from "path";
import fs from "fs/promises";
import { Fields, Files, IncomingForm } from "formidable";
const formidable = require("formidable");
const PORT = 8000;
const app = express();
const resourcePath = path.resolve(__dirname, "..", "..", "resources");

app.get("/", async (req, res) => {
    res.sendFile(path.resolve(__dirname, "..", "public", "index.html"));
});

app.post("/api/upload", (req, res, next) => {
    console.log("/api/ hit");

    const form: IncomingForm = new formidable.IncomingForm();
    // let form: IncomingForm = formidable({ multiples: true });
    form.parse(req, async (err: any, fields: Fields, files: Files) => {
        if (err) {
            console.log("THERE WAS ERROR!");
            next(err);
            return;
        }

        const oldPath: string = files.someExpressFiles.path;
        const newPath: string = path.join(
            __dirname,
            files.someExpressFiles.name
        );

        // raw data
        let rawData: any;
        try {
            rawData = await fs.readFile(oldPath);
        } catch (err) {
            console.log("1", err);
        }

        try {
            await fs.writeFile(newPath, rawData);
            res.send("Successfully uploaded");
        } catch (err) {
            console.log("2", err);
        }
    });
});

This is formidable's files object when a computer other than my laptop uploads:
files {
  someExpressFiles: File {
    _events: [Object: null prototype] {},
    _eventsCount: 0,
    _maxListeners: undefined,
    size: 0,
    path: 'C:\\Users\\myName\\AppData\\Local\\Temp\\upload_75928c3230dd986d613067faeb3df9ff',
    name: '',
    type: 'application/octet-stream',
    hash: null,
    lastModifiedDate: null,
    _writeStream: WriteStream {
      _writableState: [WritableState],
      _events: [Object: null prototype] {},
      _eventsCount: 0,
      _maxListeners: undefined,
      path: 'C:\\Users\\myName\\AppData\\Local\\Temp\\upload_75928c3230dd986d613067faeb3df9ff',
      fd: 3,
      flags: 'w',
      mode: 438,
      start: undefined,
      autoClose: true,
      pos: undefined,
      bytesWritten: 0,
      closed: false,
      [Symbol(kFs)]: [Object],
      [Symbol(kCapture)]: false,
      [Symbol(kIsPerformingIO)]: false
    },
    [Symbol(kCapture)]: false
  }
}

My html file:

        <meta charset="UTF-8" />
        <meta name="viewport" content="width=device-width, initial-scale=1.0" />
        <title>Document</title>

Hello World!

        <form action="/api/upload/" enctype="multipart/form-data" method="post">

            <input type="file" name="someExpressFiles" multiple="multiple" />
            <input type="submit" value="UPLOAD" />
        </form>

Does anyone know why this happens and a solution to it such that file uploading will work from another device?

A: There are actually no errors. The error I got was caused by user error due to bad design in the original code base which looked slightly different from the code posted here. The code posted here actually works completely fine.


We provide services to companies, national umbrella organisations, professional organisations, non-profit organisations, federal offices, cantonal directorates, schools, hospitals, research institutions and politicians.
We offer special knowledge and experience relating to numerous topics like construction planning, education policy, energy industry, financial and economic policy, health and social policy, pharmaceuticals, professional education and training, regional policy, research, SMEs, social security, sport, tourism, trade and trusteeship.
You will find selected references here.


On an evening of holiday parties at investment bank HadleyMoore, Julie Harper – Director of Equity Sales – decides to forgo wine and cocktails with coworkers at a nearby club and opts to stay on the trading floor for chips and beer with the bank's maintenance staff. Her desire to cut loose for a night leads her to Juan, a janitor for the firm. After some innocent flirting turns to something more serious, both Julie and Juan find themselves faced with a crisis of choice and consequence.
Ms. Julie, Asian Equities takes August Strindberg's classic play and updates it for the 99% and the 1%, with the sexual politics and class warfare fully intact. What happens when you decide to see how the other half lives? And is it possible to still rise to the top when you've reached the very bottom?
Ms. Julie, Asian Equities was staged in a studio apartment converted into a theater, featuring a fully-realized design and just 20 seats per night.
Every Christmas, Barton Booth throws a Holiday Jamboree. We invite musicians, friends, singers, non-singers, and non-musicians to fill a small NYC apartment with Christmas spirit and song. The result is a jamboree sing-a-long tour of pretty much every holiday song you've ever heard.
It has become the event of the holiday season for many people. Even Santa Claus himself puts our Holiday Jamboree on his list of must-attend events each year.
The Cozy Living Room program features unforgettable performances in impossibly small living rooms - from music, to storytelling, to interactive and immersive experiences.
Interested in a Cozy Living Room event of your own? Drop us a line and tell us about yourself, your artistic medium, and how you might benefit from the event. We can be reached via tin can or at bj at bartonbooth dot com.
Inside a rodeo corral near Calgary, Alberta, a young man trains to become a bronco rider under the watchful eye of his cowboy father.
Sean Harris Oliver (Playwright) is a writer, actor, and the Co-Artistic Director of Hardline Productions, a theatre company based out of Vancouver, Canada. His short film Letters from a Stone Cold Killer was shortlisted for the Canadian Short Screenplay Competition in 2013 and was subsequently produced and released by Scopitone Films. He is currently developing two feature length screenplays, as well as a theatre script titled The Fighting Season, a play that focuses on NATO health care workers returning from Afghanistan, premiering this fall. Up next, Sean's two-act play Bright Blue Future (a finalist for the Theatre BC Playwriting Competition and American Actors UK Award) will receive its professional world premiere in February 2016. Check out Letters from a Stone Cold Killer on Vimeo at www.vimeo.com/86285196. Visit him online at www.seanharrisoliver.com.


text:
using System;

namespace Heathmill.FixAT.Domain
{
    public class Order : IOrder
    {
        public Order(long id,
                     OrderType orderType,
                     Contract contract,
                     MarketSide marketSide,
                     decimal price,
                     decimal quantity,
                     string clOrdID,
                     TradingAccount tradingAccount)
        {
            ID = id;
            OrderType = orderType;
            Contract = contract;
            MarketSide = marketSide;
            Price = price;
            Quantity = quantity;
            LastUpdateTime = DateTime.UtcNow;
            ClOrdID = clOrdID;
            Account = tradingAccount;
            OriginalQuantity = quantity;
        }

        public long ID { get; private set; }
        public OrderType OrderType { get; private set; }
        public Contract Contract { get; private set; }
        public MarketSide MarketSide { get; private set; }
        public decimal Price { get; private set; }
        public decimal Quantity { get; private set; }
        public decimal OriginalQuantity { get; private set; }
        public decimal FilledQuantity { get { return OriginalQuantity - Quantity; } }
        public DateTime LastUpdateTime { get; private set; }
        public string ClOrdID { get; private set; }
        public TradingAccount Account { get; private set; }

        public void OrderPartiallyFilled(decimal filledQuantity)
        {
            Quantity -= filledQuantity;
            // Do NOT adjust the last udpate time for a partial match
        }

        public void UpdatePrice(decimal newPrice)
        {
            Price = newPrice;
            LastUpdateTime = DateTime.UtcNow;
        }

        public void UpdateQuantity(decimal newQuantity)
        {
            Quantity = newQuantity;
            LastUpdateTime = DateTime.UtcNow;
        }

        // TODO Should this go by ID or ClOrdID
        public bool Equals(IOrder other)
        {
            if (other == null) throw new ArgumentNullException("other");
            return ID == other.ID;
        }

        public override int GetHashCode()
        {
            return ID.GetHashCode();
        }

        public override bool Equals(object obj)
        {
            if (obj == null || !(obj is IOrder))
                return false;

            return Equals((IOrder) obj);
        }

        public bool IsSameClientOrder(IOrder o)
        {
            return ClOrdID == o.ClOrdID;
        }

        public override string ToString()
        {
            // TODO Consider a better ToString for display?
            return this.GetPropertiesString();
        }
    }
}

redpajama_set_name: RedPajamaGithub


text:
CBC Arts
About CBC Arts
Photographer Paul Zizka seeks out the spectacular from the Alberta winter
Exhibitionists·Video
A professional mountain landscape and adventure photographer based in Banff, Alta., Zizka is happy to venture deep into the wilderness to find his best photos — even in the dead of winter.
From the Northern Lights to the Canadian Rockies
Peter Knegt · CBC Arts · Posted: Jan 21, 2016 2:50 PM ET | Last Updated: January 21, 2016
A professional mountain landscape and adventure photographer based in Banff, Alberta, Paul Zizka's stunning work comes from some very hard-to-reach places. He took CBC Arts along for one of his missions, explaining that how he longs for the winter to "bring back the silence." 4:35
Paul Zizka's art comes from some very hard-to-reach places. A professional mountain landscape and adventure photographer based in Banff, Alta., Zizka is happy to venture deep into the wilderness to find his best photos — even in the dead of winter.
"I think what I love the most [about] the return of winter is how you notice suddenly that [it] brings back the silence," Zizka says in the above segment from Exhibitionists, directed by Josh Wong. "There's always little noises in the summer... but all that stuff comes to a standstill in the winter."
From the Northern Lights to the peaks of the Canadian Rockies, let Zizka take you to the extremes of his extraordinary work.
Watch Exhibitionists Sundays at 4:30pm (5 NT) on CBC.
Why Calgary artist Jeff de Boer makes armour for mice and cats
Painter Nasser Azam on enduring extremes for art
Watch episode 12 of Exhibitionists


text:
package org.apache.camel.karaf.commands;

import org.apache.camel.commands.RouteProfileCommand;
import org.apache.camel.commands.StringEscape;
import org.apache.karaf.shell.api.action.Command;
import org.apache.karaf.shell.api.action.lifecycle.Service;

@Command(scope = "camel", name = "route-profile", description = "Display profile information about Camel route(s).")
@Service
public class RouteProfile extends AbstractRouteCommand {

    private StringEscape stringEscape = org.apache.camel.karaf.commands.internal.StringEscape.getInstance();

    @Override
    public Object execute() throws Exception {
        RouteProfileCommand command = new RouteProfileCommand(route, context);
        command.setStringEscape(stringEscape);
        return command.execute(this, System.out, System.err);
    }
}


text:
Cocotropus dermacanthus är en fiskart som först beskrevs av Pieter Bleeker 1852.  Cocotropus dermacanthus ingår i släktet Cocotropus och familjen Aploactinidae. Inga underarter finns listade i Catalogue of Life.

Källor

Kindpansrade fiskar
dermacanthus


This paper will discuss the nature of the gas induced damage in a poly(vinylidene fluoride) (PVDF) exposed to 'explosive' or rapid pneumatic decompression in a carbon dioxide environment. Generally, under high pressure, the polymer absorbs significant amounts of gas. The large quantity of gas absorbed may induce a dilatation of the specimen and also influence the mechanical properties of the polymer. When the ambient pressure is reduced, the polymer will often suffer irreversible mechanical damage; this process is usually termed explosure decompression failure or 'XDF'. This paper is presented in four parts. The first part will describe the variation of the mass of the PVDF polymeric sample in a carbon dioxide medium during the compression and the decompression process at 80°C in the pressure range of 0.1– 30 MPa. It is shown that the mass of the specimen increases as the pressure increases but, upon decompression under the conditions described, it is quite constant until 15 MPa and then it falls rapidly. The second part describes the corresponding volumetric change of the polymer, in situ, during the compression and the decompression at 80°C. The decompression curve exhibits a dilatation peak centred at around 14 MPa. The decrease of the mass and the size of the sample is related to the generation of cracks in the polymer matrix during decompression. The third part will describe the results of a mechanical deformation experiment on samples exposed to compression– decompression cycles which is used to establish a relationship between the loss of mechanical properties of the sample and the loss of internal coherence due to the presence of internal cracks. A final part summarises the major conclusions which indicate conclusively that the polymer is irreversibly damaged in the decompression process adopted in the current study.
Gas induced damage in poly(vinylidene fluoride) exposed to decompression / O. Lorge, B.J. Briscoe, P. Dang // Polymer. – 1999. – N 40. – P. 2981–2991.
Gas induced damage in poly(vinylidene fluoride) exposed to decompression - Завантажити.


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What is Sciworthy?
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Using The Big Bang As A Ruler Cosmologists use baryon acoustic oscillations to map distances as the universe expands
Posted on February 15, 2018 February 15, 2018 by Crystal Riley
Baryon acoustic oscillations, an artifact remaining from the Big Bang, can be used by scientists to measure cosmological distances regardless of how the distances are changing. Soon after the Big Bang, the beginning of our universe, all of the matter of the universe was packed densely into a much smaller space. The result was a plasma of electrons, protons, and other particles so dense that light could hardly escape it. The dense plasma is called the primordial plasma.
The density of the primordial plasma combined with the forces of gravity around the concentrated mass in the plasma caused waves. These waves of gravity and pressure in the plasma are referred to as cosmic sound. Cosmic sound rumbled through the early universe primordial plasma with surprising speed, often close to half the speed of light. As the universe expanded, the different constituents of the primordial plasma were affected differently by the cosmic sound depending on their make-up. This is similar to how sound travels faster underwater than it does in the air, because the water and the air are made of different materials.
The result of the cosmic sound rippling through the ever-expanding primordial plasma created pockets which gathered the baryonic matter, like protons and neutrons, into higher densities. The areas where baryonic matter is most dense create a pattern of peaks throughout the plasma. These patterns are referred to as baryon acoustic oscillations.
Baryon acoustic oscillations resulted in dense concentrations of protons and neutrons in certain places in the primordial plasma. As the universe continued to expand, these protons and neutrons were attracted, causing hydrogen to form. The primordial plasma became less dense and then the spurious hydrogen became hydrogen dust. As these clumps of hydrogen were formed, the clumps were gravitationally attracted and collapsed, resulting in the first stars. These stars then collected into clusters, resulting in the first galaxies.
Thus, the exact same distribution of the baryons in the primordial plasma, the baryon acoustic oscillations, that occurred after the Big Bang is theorized to be the same distribution of stars and galaxies throughout the universe.
Driven by this theory, the publication from Eisenstein et al. surveyed the galaxies in the night sky. In this survey, the scientists looked at the distances between the galaxies. Using the positions and the ages of the galaxies in the sky, the team correlated the pattern of the distribution of the galaxies to that of the baryon acoustic oscillations of the primordial plasma. The peaks of baryons in the primordial plasma corresponded to a galaxy clusters that exist today.
The finding in this paper not only demonstrates the baryon acoustic oscillation theory can be observed in the universe, but also proposes the use of baryon acoustic oscillations as a sort of cosmic ruler. Due to light travelling at a finite speed, the light from a star takes time to get to Earth. The light from the star is actual the picture of how the star was long ago. For example, if a spaceship is 75 light years away from Earth, they would see the Earth as it was 75 years ago. The starlight in the night sky is actually all of varying ages. Plus, the universe is ever expanding. As a result, the distances and locations of galaxies are difficult to measure, since the space between the galaxies keeps increasing. Two galaxies today that are 75 million light years apart, even if the galaxies were completely stationary, in the future will be 100 million light years apart. This added distance is not because the galaxies are moving, but because the universe is expanding.
Cosmologists, scientists studying the evolution of the universe, need a way to refer to the distribution of the galaxies and galaxy clusters without having to know how old the light from a galaxy is, or how quickly it's accelerating away from its neighbors. The pattern of the baryon acoustic oscillation is perfect, since it has not changed since the early universe. Baryon acoustic oscillations provide a great tool for cosmologists to measure distances in the universe without having to worry about when the measurement was taken.
Believe it or not, we can (kind of) measure the air…
We must go deeper: Submerging net cages for healthier fish
A crater on Mars may be a future landing site
Bacteria with Nanowires can Electrocute Metals…
Posted in Astronomy, Astrophysics, By Science Writers, Physics, Science News, SpaceTagged acoustic, age, astronomy, baryon, distance, Eisenstein, expanding, galaxy, how big is the universe, luminous, oscillations, physics, primordial plasma, red galaxies, space, starlight, steward observatory, universe, university of arizona
Edited By: Gina Riggio
Source: Detection of the Baryon Acoustic Peak in the Large-Scale Correlation Function of SDSS Luminous Red Galaxies
Paper Author(s): Daniel J. Eisenstein, et al.
Paper Institution(s): Steward Observatory, University of Arizona
Featured Image Source: Constellation Fornax Extreme Deep Field. Source: Wikimedia Commons
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#ifndef __RISCV64_CACHE_H__
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#include <sizes.h>
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void cache_inv_range(unsigned long start, unsigned long stop);

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void mmu_enable(void);

#ifdef __cplusplus
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#endif /* __RISCV64_CACHE_H__ */


REL Northwest and the Institute of Education Sciences have released a study examining online credit recovery through the Montana Digital Academy (MTDA), Montana's state public virtual school. MTDA provides online education opportunities to Montana students through courses taught by licensed Montana teachers. The study analyzed course enrollment and passing rates for students enrolled during the 2013-2014 school year.
A total of 2,452 students accounted for 3,763 unique enrollments in MTDA online credit recovery courses during the 2013–2014 school year. MTDA's overall credit recovery passing rate is 57 percent, which falls at the high end of the range found in prior studies of online classes. Students in grades 10 and 11 made up the largest proportion of students, and students enrolled in English language arts more than any other subject area.
REL Northwest found that students who take one MTDA online credit recovery course per semester have lower passing rates than those who take multiple courses in a semester. Districts who allow students to enroll in more than one course in a semester are required to provide extra time and support for those students.
Based on internal analysis of its success data, MTDA has rolled out several new design enhancements in the last two school years, including a simplified course organization, increased access to live tutoring for students struggling on particular assignments or concepts, and an increased expectation of local schools to build a supportive environment around credit recovery students.
Online Credit Recovery: Enrollment and Passing Patterns in Montana Digital Academy Courses can be found on the Institute of Education Sciences website. This study follows the recent release of the REL Northwest report, Successful Strategies for Online Credit Recovery in Montana.


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2018 General Predictions & Previews Previews Women's Football Alliance News
Week 5 Game Previews: Coach and Player insight!
May 4, 2018 May 10, 2018 WFA Staff american football, April Regas, BackseatCoach, Colorado Football, Colorado Freeze, Denver, Flag Football, Football, Football Women, girls tackle football, Knoxville Lightning, LA Football, LA Warriors, Los Angeles Warriors, Massey Ratings, Minnesota Football, NCAA football, NFL, NFL Women, Portland Football, pro football, tackle football, Tim Beasley, Title IX, Title IX Football, WFA, WFA Football, Women's Pro Tackle Football, Womens Football, Womens Football Alliance, Womens Gridiron, Womens Pro Football, Womens Professional Football, womens sports, Womens Tackle Football, Womens World Games
We've got a couple previews for you this week!
LA Warriors vs Portland Fighting Shockwave
Minnesota Vixen vs Columbus Vanguard
Pittsburgh Passion v Detroit Dark Angels can be found HERE!
Los Angeles Warriors (3-0) at Portland Fighting Shockwave (4-0)
Roosevelt High School, 6 p.m., Saturday, May 5th
by Warriors Staff
The Los Angeles Warriors might have been late to the 2018 WFA season party, but they have finally arrived.
The Warriors won their opening game against the Rebellion 48-8 and now the team heads north, travelling this Saturday to face the undefeated Portland Fighting Shockwave in Portland, OR. The last time these two teams met, it was during the 2016 Round 1 playoffs. And, in a surprisingly low scoring game, the Warriors left the Pacific Northwest with the win.
Although this is the only Division I game that either team will play in the regular season, the result will have great significance on the playoff picture. The Shockwave are literally running over their competition. Leading the WFA Division I in team rushing, Rebecca Dawson and Yesenia-Jasmin Rodriguez are blue-collar runners that take it north and south, tearing through defenses. On the other side, the Warriors flexed their defensive muscle against the Rebellion and only allowed 8 points, leading the WFA Division I in team defense. The defense also showed on Saturday their turnover power with multiple fumble recoveries.
There is excitement for travelling and flying, but it has been instilled from day one that this is a business trip. Almost right after the game, the coaches and players started to analyze the game, study film, and start game planning for this weekend.
"I was super impressed by the way our team played this past Saturday. It was a perfect game to get everyone out on the field working together," Warriors quarterback Chantel Wiggins stated. This past Saturday, she threw for almost 200 yards and two touchdowns. "There were a lot of things we need to clean up for our upcoming game against Portland. If we play like we did this past week with a few adjustments, then I have a good feeling we will go into their house and steal a win away."
These sentiments have been echoed by coaches and players all week. The Warriors have dialed up additional film sessions and extra practices to prepare for this game. Team USA and Warriors running back, Alexis Snyder, who leads the Warriors in touchdowns (3 so far) is going into the game with a clear and focused mind.
"As long as we play our game, capitalize on any mistakes they have, make [any] adjustments where needed, we will get the win. This is just another obstacle standing in our way to the ring."
This will easily be the biggest game of the season for the Los Angeles Warriors. With great preparation, the Warriors hope to leave Portland with some great doughnuts and the win.
If you cannot see us live or want more information about our team, then please visit our website to follow the action via our social media pages:
Live: https://www.facebook.com/PortlandFightingShockwave
Website: www.lawarriorsfootball.com
Facebook: https://www.facebook.com/LosAngelesWarriorsFootball/
Instagram: https://www.instagram.com/la_warriors_football/
Twitter: https://twitter.com/_la_warriors
Snapchat: la_warriors
Minnesota Vixen vs Columbus Vanguards
Game date: May 5, 2018 @ Simley High School, Inver Grove Heights, MN
Kickoff: 6 p.m.
Halfway through the season, the Minnesota Vixen are undefeated (4-0, 2-0 Division 2) and looking to maintain home field advantage in the Women's Football Alliance playoffs.
The team starts a three-game homestand on Saturday against the Columbus Vanguards (1-3, 1-2 Division 2.) Even though their next three opponents each only have one win, the Vixen won't take anything for granted.
"Columbus has turned some heads this season," said Vixen wide receiver coach Jake Potter. "They would make a huge statement by beating us."
Special teams coach Adam Griffith hopes his unit has a breakout game.
"We've struggled a bit so far this year with assignments and blocking," Griffith said. "However, we got back to basics this week in practice and should see that translate to better performance in the game."
One thing the Vixen have been doing well is playing defense, holding opponents to under 10 points a game on average. Last week against a tenacious Detroit Dark Angels squad, the defense recovered a fumble and had a clutch fourth-quarter interception to seal the victory.
Offensively, Minnesota continues to grind. Expect to see Grace Cooper continue to chew up the turf with her hard-charging running style, and Sam Barber lead the Vixen air attack.
The Vixen will post updates on Twitter during their away games, and for the fourth year in a row, Town Square Television will broadcast home games live on local cable access channels and streaming online.
Website: www.mnvixen.com
Facebook: Minnesota Vixen Women's Football
Twitter: @MinnVixen
Live stream and replay of home games: Town Square Television
← WFA Spotlight: Michele Braun, C/LS, Minnesota Vixen
WFA Spotlight: Coach Mike Melnyk, Pittsburgh Passion →


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Best Tourist Attractions in Europe According to Instagram
Tourists flock to the Eiffel Tower in Paris, France. Editorial credit: lapas77 / Shutterstock.com
Instagram is one of the most popular social networking sites today. It is a photo and video sharing site that is widely used by people from different corners of the globe. Europe's most Instagrammed locations are mentioned below:
5. Oktoberfest
Oktoberfest is the fifth most Instagrammed attraction in Europe. It is the largest beer festival and traveling funfair in the world. It is held every year in Germany's Munich. The festival runs for 16 to 18 days from September to October and is attended by over 6 million people each year. The festival has been held since 1810 and is an integral part of the Bavarian culture.
4. Notre-Dame
The fourth most Instagrammed European attraction is located in Paris. It is a medieval Catholic cathedral named the Notre-Dame de Paris or the Notre-Dame Cathedral. It is famous for its architectural splendor and rich history. The cathedral is one of the finest examples of French Gothic architecture. The impressive cathedral building on the banks of the Seine River provides the picture-perfect backdrop to pose for a photo. Thus, the Instagram is flooded with photos of the Notre-Dame.
3. Big Ben
London is one of the world's most visited cities and the Big Ben is one of the iconic monuments of this city. It refers to the Great Bell of the clock and (in its extended definition) also the clock tower that is found in the Palace of Westminster's northern end. The construction of the clock tower was completed in 1859. 334 steps need to be climbed to reach the belfry of the 315 ft tall tower. Tourists visiting London ensure they capture an image of this clock tower and share it on their social media devices since it is one of the most recognizable symbols of London city.
2. Berlin Wall
A wall that divided people the people of Germany between 1961 to 1989, is the second most Instagrammed attraction in Europe. Since the reunification of Germany, tourists from all corners of the globe have visited the country with the Berlin Wall featuring in nearly all itineraries of these travelers. The Berlin Wall was built during the Cold War era by the Communist East German authorities to prevent the East Germans from fleeing to the democratic west. The wall completely encircled West Berlin. Although the Wall has been demolished nearly completely, small parts of it still stand and remind the people of the past historical events. Most people who visit this place prefer to capture the image of the ruins of the wall as a reminder of their visit to this historic place.
1. Eiffel Tower
Paris is regarded by many as the world's most romantic city. Visiting Paris is a dream of millions across the world. No visit to the city is ever complete without standing below the most iconic monument of the city and perhaps even the world, the Eiffel Tower. Clicking pictures keeping the tower in the background is an absolute necessity for most tourists to Paris. Thus, it is not surprising that it is Europe's most Instagrammed attraction. Located on Champ de Mars, this wrought iron lattice tower dominates the skyline of Paris. It is the tallest structure in the city and has a height of 1,063 ft. Three levels of the Eiffel Tower are accessible to visitors. The first two levels host restaurants while the third one has the highest observation deck in the European Union at an elevation of 906 ft.
Top European Tourist Attractions On Instagram
Europe's Attraction
Instagram tags (in millions)
1 Eiffel Tower 7.3
2 Berlin Wall 4.6
3 Big Ben 2.6
4 Notre-Dame 2.5
5 Oktoberfest 2.3
6 Colosseum 1.8
7 Acropolis 1.0
8 La Sagrada Familia 0.9
9 Alhambra 0.7
10 Buckingham Palace 0.6
Oishimaya Sen Nag May 1 2018 in Travel
The Most Popular Tourist Attractions In All Of Europe
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January 18, 2020 January 18, 2020 David Cirone
Check out J-Generation′s best J-Pop and J-Rock album/single jackets of 2019, chosen by contributors David Cirone, Michelle Minikhiem, Marc Bowie, anRead More…
Photos by David Cirone Japanese girls rock band BRATS performed their first live American concert at Anime Los Angeles on January 10, 2020, theRead More…
Akihabara-based maid cafe @home cafe ("at-home cafe") will present a special Hello Kitty collaboration cafe from January 21 – March 29, 2020Read More…
January 8, 2020 January 8, 2020 David Cirone
Japanese idol group Wasuta ("The World Standard") announced the release of their first "Best" album at their annual "Wa-Ship Kanshasai�Read More…
INTERSECTION'S first song of 2020, "New Page", has been chosen as the new ending theme for the popular TV anime Black Clover. Formed in 2Read More…
D=OUT will make U.S. debut at Nekocon in Virginia
Visual kei band D=OUT will make their U.S. debut at Nekocon held November 6-8, 2020 in Hampton, VA. The band's frontman Kouki Hanamizakura will alRead More…
Aldious to make U.S. debut at NAMM 2020 in Anaheim
Aldious will perform at one of the world's largest music industry events, the 2020 NAMM Show in Anaheim, California. The all-girl metal band wilRead More…
Kyary Pamyu and Pamyu and Hatsune Miku to turn Coachella "kawaii" in 2020
Coachella has announced two of Japan's most kawaii musical acts will perform at the annual music festival held in Indio, California. This the thirRead More…
Tokyo Jihen drops surprise single and announces 2020 Japan tour
Tokyo Jihen announced a surprise reunion on January 1 with a new digital single "Erabarezaru Kokumin", along with a video teaser for the band's upRead More…
URBANGARDE's new music video "Kotoba Uri" ("Word Seller") touches base on 80s technopop to bring in the new year, with a VHS-style reflection on pRead More…


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text:
Shut Up Yourselves!
The Dixie Chicks are the subject of an excellent well-crafted new documentary by Barbara Kopple. Shut Up and Sing. The title comes from one of the country group's ex fans who would feel perfectly content if everything that is disturbing to her was censored and muzzled. Why are artists assumed to be exempt from having opinions about political causes and world matters? Why are they just supposed to entertain? This contempt for the artist as the public's stooge recalls some of the films of Ingmar Bergman about the theme of the artist as outsider such as the most vivid example The Magician (1958, Sweden).
The Dixie Chicks gained infamous popularity after a statement made at a concert in London in 2003 that they were ashamed that George Bush Jr comes from Texas. The comment was picked up by the Guardian in London and syndicated making its way back to the USA. A personal opinion about the governor from the state of Texas, who many still refer our controversial often foot in mouth high commander as, is all lead singer Natalie Maines expressed, but it's like the game of gossip when someone whispers a simple statement into someone's ears and by the time it gets around the circle it's completely distorted. After the comment the group got death threats and were declared unpatriotic, radio stations wouldn't play their music by listener request and their concerts and record sales sagged. It smacks of the way Jane Fonda's visit to North Vietnam was used in a smear campaign to make her an enemy of the state. The most revealing comment made by Martie Maguire in the documentary is that the hidden reason they seem targeted is because they are supposedly a nice group of refined women that represent the myth of purity in America. And it seems like the unpopular war in Iraq needs a scapegoat just like the Vietnam War to stop the dissent. What better target than women. It also seems true that war is ultimately about a deep down hatred of women, as bearers of life on this planet. So to this end Kopple gives ample room to the fact that these women are mothers with children and husbands who support their work with intimate scenes of the women and their loved ones. These are some of the best parts of the film, especially as one finds it hard to fathom death threats from people who don't even know them and what was actually said.
The film principally shows the interactions between the PR and record label people who handle the Dixie Chicks, personal comments from Natalie Maines, Emily Robison and Martie Maguire and about what happened to them since the London concert, and the reactions good and bad to their work. It is an impassioned study of a group who speaks their mind spearheaded by a frivolous comment on a night in a country where the anti war sentiment is strong especially the unpopularity of Bush's ally Tony Blair. To what extent are artists allowed freedom of speech, that is the question and why the immature belief that artists are wind up talking dolls in service to the people. The extent to which corporate radio yanked the music off the airwaves shows a very sad and disturbing state affairs about basic civil liberties in our country. Shut Up and Sing shows that it is all about freedom of speech and expression and how we had better not forget it. Freedom of speech, speaking out and having a voice. Yeah! On to the Grammies Dixie Chicks. You go girls!
Review Broadcast For Movie Magazine International, San Francisco. December 29th 2006 ©Moira Sullivan


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The Free Library > Science and Technology > Library and information science > RISTI (Revista Iberica de Sistemas e Tecnologias de Informacao) > August 1, 2016
The Free Library > Date > 2016 > August > 1 > RISTI (Revista Iberica de Sistemas e Tecnologias de Informacao)
Land use classification based on texture feature of multiple-source remote sensing image.
<a href="https://www.thefreelibrary.com/Land+use+classification+based+on+texture+feature+of+multiple-source...-a0466290203
MLA style: "Land use classification based on texture feature of multiple-source remote sensing image.." The Free Library. 2016 AISTI (Iberian Association for Information Systems and Technologies) 16 Jan. 2021 https://www.thefreelibrary.com/Land+use+classification+based+on+texture+feature+of+multiple-source...-a0466290203
Chicago style: The Free Library. S.v. Land use classification based on texture feature of multiple-source remote sensing image.." Retrieved Jan 16 2021 from https://www.thefreelibrary.com/Land+use+classification+based+on+texture+feature+of+multiple-source...-a0466290203
APA style: Land use classification based on texture feature of multiple-source remote sensing image.. (n.d.) >The Free Library. (2014). Retrieved Jan 16 2021 from https://www.thefreelibrary.com/Land+use+classification+based+on+texture+feature+of+multiple-source...-a0466290203
The land use type has the characteristics of variability and diversity, and the land cover is scattered, which brings great uncertainty to the land use classification. A single remote sensing image cannot cover the comprehensive land use information; therefore, it is helpful to improve the accuracy of land use classification by acquiring multi-source remote sensing images and realizing the advantages of complementary on remote sensing data. But, at present of multi-source remote sensing land using classification research less, on land use classification is still focused on single source remote sensing data, recognition of the land use types, remote sensing data is not perfect and restrict land use classification accuracy improved(Chen, 2014; Liu, 2006). In addition, planting patterns of different texture characteristics of crops and different crops may be due to changes in cropping patterns with similar texture feature and the same crop may have the different texture features due to different planting patterns.
In view of the above problems, this paper proposes a multi-source remote sensing image land use classification based on texture. Use of multi-source remote sensing image acquisition is more abundant and more accurate land use of information, establishment of land use type texture library, and make up the texture characteristics may change due to planting mode, improves land use classification accuracy. Through the land use of the precise distinction between, each pixel in remote sensing image feature matching, can meet people from the mass remote sensing data fast recognition and need to retrieve different topics of land use types and land structural properties (Di, 2014), and some land use types of in-depth study provides a good technical foundation for the realization of the land resources dynamic monitoring and management, to learn about. Using remote sensing technology to classify the types of land use, the essence is to obtain the characteristic information of land type, and to match with the existing types of features, and then determine the type of land. The first classification technology is image visual interpretation classification, which is the most direct and basic method of land use classification. Its classification is based on the image of the surface of the main visual features, such as shape, size, color, location; shadow (Deng, 2008). The method is carried out by professional personnel to interpret the classification, classification accuracy is high, in some of the needs of the high accuracy of remote sensing image classification is still indispensable. Although this method can achieve higher classification accuracy, but on visual image interpretation personnel requirements are higher, dependence, in many cases will also need people personally conducted on-site investigation on-the-spot investigation, classification is improved and the cost and scope of application is small, strong subjectivity.
With the development of computer science and technology, using remote sensing image computer automatic classification become land use classification of the type of dominant. Its essence is using computer pattern recognition of remote sensing image information for the recognition and classification of property. Using computer system for remote sensing image classification, according to the different work principle is divided into statistical model method and syntactic mode method. Statistical method mainly includes the maximum likelihood method, spectral characteristics analysis method (Xu, 2010), texture analysis and other traditional remote sensing image classification method, syntactic pattern methods are mainly in the neural network method, fuzzy mathematics method and expert system method. Strahier in 1980, firstly using the maximum likelihood method to classify the image data, he in the acquisition of remote sensing data and assumes that all kinds of distribution function is based on the normal distribution, the calculation of every attribution probability of classification area, various regional data in the image are classified; similarly, Zhang using Landsat ETP images by maximum likelihood method of 7 kinds of land use types for the supervised classification, the classification accuracy is about 85%. Goldberg in 1983 by spectral characteristics of single multi band image classification, from obtain the forest resource information (Li, 2011), but as complex information contained in remote sensing image, with synonyms spectrum and foreign body with same spectrum there are a lot of restricts the spectral analysis of the improvement of classification accuracy. The expert classification method based on decision tree of 11 types of land for information extraction and classification. Through the extraction of remote sensing image in land use types of attribute parameters, combined with the knowledge base of the expert system in a similar form of binary tree gradually to identify the various types and the obtained classification accuracy was 84%. In addition, the current land types of remote sensing image classification is using a single source remote sensing data attribution probability calculation, a single data source, the land use information, classification and calculation is difficult to implement and need to determine in advance the relevant parameters.
Texture can be regarded as a pattern that is produced by the change of color in the image space, and it is one of the inherent properties of the image. So for remote sensing image, texture directly reflects the spatial distribution of image gray mode, contains the surface information of the remote sensing image and its relationship with the surrounding environment, can a good balance of remote sensing image of the macro structure and micro structure (Yang, 2008; Li, 2012). Common texture feature extraction methods include: gray level co-occurrence matrix, wavelet theory, fractal theory, local two value model, local three value model (Hu, 2007; Lan, 2010). Hardick proposed based on gray level co-occurrence matrix of 14 texture measure, and its application to the classification of remote sensing image, the image texture features to obtain more accurate expression; acqua and Gamba with gray level co-occurrence matrix, through the analysis of the different phase of SAR remote sensing image (Huang, 2003), it is concluded that the extraction can improve the accuracy of image recognition based on texture information. Then, with the rise of the statistics and the gradual improvement, the application of texture information extraction of remote sensing image based on the statistics of the ground, it is the use of random function to analyze the phenomenon of uncertainty. Huang use the logarithmic difference function application in texture image described, and separate spectral analysis for image classification and compared, finally came to a conclusion that the logarithmic deviation function and texture extraction combination can improve the conclusion of lithologic classification accuracy. In 1980s, Penthand et al proposed a fractal model. Ojala proposed a local two value model (Binary Pattern Local, LBP), which is used to describe the local texture features of the image (Liu, 2009; Wang, 2013). The algorithm has local characteristics of sound, to changes in illumination is not sensitive, algorithm complex degree is low, can be more effective to extract the essential characteristics of, become in recent years has drawn attention to texture extraction algorithm. The study for land use classification in the presence of the above problems is proposed based on the texture of multi-source remote sensing image classification; the land of multi-source remote sensing image using texture feature information fusion, texture classification database is established, in order to improve the land use classification accuracy.
2. Research methods
This study with multi-source remote sensing image as data source, based on the texture of the land use classification, first of all, the remote sensing image preprocessing, to convert the image as the feature vector information, texture feature library is established to achieve the fusion of multi-source remote sensing data. Its process can be described as:
1. The extraction of texture information from land use of multi-source remote sensing image. By using the LBP operator to get the texture feature vector of the land use type of multi-source remote sensing image, the scale invariant, gray scale invariant and rotation invariant.
2. Identification of land use in multi-source remote sensing image. Using LBP histogram relevance calculation of remote sensing images of land use types, a large number of tests based on the review of relevant literature and, get the two pieces of remote sensing image to the same or different land use types of correlation values in the range, the land use types of recognition.
3. Construct texture land use multi-source remote sensing image. Using LBP operator to get the texture characteristic information of land use, combining with BOW model, K-means clustering to establish classification texture database, realize the fusion of multi-source remote sensing data.
4. Scheme design and optimization of land use classification. Using support vector machine (SVM) to be in land classification and texture matching, classification of land use categories to be determined, the scheme contrast selected preferred scheme.
5. Verification of texture library, the use of a method of cross validation of the method of cross validation of the texture library for reasonable validation, to determine the feasibility of the texture database classification.
2.1. Acquisition of classified samples
This study using multi-source remote sensing images with different spatial resolution as the sample classification, resolution can be roughly divided into 0.5m, 1M, 3M, 5m, 10m several levels, for a total of 176 amplitude, the training sample 96 pieces (48), test samples of 80 (10*8). They respectively, include 8 kinds of land use types: woodland, grassland, terraces, residential areas, deserts, hills, mountains of the original and kiwi fruit planting area.
2.2. Texture feature extraction based on LBP algorithm
Local binary pattern LBP) is initially as a texture description algorithm is proposed, measure and describe the texture information of images of different and efficient characterization of the texture features of remote sensing image, in the image retrieval, robot vision, and face recognition and so on has been widely used. From the definition of LBP can be seen, there is gray scale invariance does not have rotation invariance, that is, when the original remote sensing image rotation, for each window will get a different LBP value. Cause changes in the whole remote sensing image LBP map to make the image rotation does not, Maenpaa presents with rotation invariance of the improved LBP Operator, in fact, this idea is: continuous rotating circular neighborhood get a series of initial definition of LBP values, take the minimum value as the neighborhood of LBP value.
[FIGURE 1 OMITTED]
As shown in Figure 1, Schematic diagram of the rotation invariant LBP, the original state under the remote sensing image of LBP values for 225, when occurred different degrees of rotation corresponding LBP values will change, figure said the 8 kinds of LBP patterns. After a rotation invariant processing, finally obtained with rotation invariant LBP value is 15. That is to say the figure in the 8 LBP modes corresponding to the rotation invariant LBP mode is 00001111.
2.3. Image classification based on BOW model
LBP texture feature extraction feature vector and cannot express the characteristic information of the whole remote sensing image to image complete and accurate expression, also need to continue to carry on processing to the texture data. Based on the BOW model, this paper establishes a visual word bag for remote sensing images, and uses a visual dictionary to represent the same land use types in remote sensing images. According to the matching of visual words and visual dictionary, land use types are identified, which can be used to distinguish the type of independent image blocks in the image.
BOW (of words Bag) model was originally used in information retrieval and Natural Language Processing. In the text information retrieval, all the statements as a combination of words, grammar, each word with its position in the sentence as a whole is not dependent on the in other words, in image retrieval, the bow by method of structure of the image of visual bag of words to express the image. This research using LBP histogram data as image feature descriptors using clustering the disorder data are clustered in order to realize the construction of the bow of the dictionary. After the construction of the dictionary, the relationship between each image feature descriptor and clustering to build the histogram, so each image can represented by statistical histogram features. In this study, all remote sensing images are processed on the basis of BOW model, and the texture database of land use type is obtained, which can realize the fusion of multi-source remote sensing data.
3.1. Texture feature extraction and recognition of remote sensing image based on LBP algorithm
In this study, the original RGB remote sensing image gray scale transformation as the image input, the use of uniform and rotation invariant LBP operator to extract texture features, set P=8, R=1.
[TABLE 1 OMITTED]
Comparing the original remote sensing image histogram and LBP histogram can be seen distribution histogram of the original image, the majority of data clusters, not concentrated expression of the image characteristics; in contrast, LBP histogram except for some of the smaller data into state of distribution, so it is more representative. Therefore, the use of LBP histogram for land use classification, the use of a larger value as the texture feature vector of the remote sensing image, help to express the remote sensing image of land use types of texture feature information.
Identification and analysis of different land use types:
A remote sensing image and remote sensing image B for two kinds of different land use types belong to woodland and grassland, using LBP Operator to extract the texture feature information drawn LBP histogram, to calculate the correlation of two images for 81.83%. Through multiple remote sensing image land use classification experiments, and access to relevant literature, can draw the conclusion: when the two pieces of remote sensing image correlation is less than 0.86, that the two types of land use is different.
Identification and analysis of the same land use types:
The land use types of remote sensing images D and C belong to forest land, and their correlation is 97.73% through LBP histogram. After multiple remote sensing image land use classification experiments, and access to relevant literature, can come to the conclusion: when the two image correlation reached to 95% and above, that the two kinds of land use type is the same. In addition, synthesis of several experimental and literature data, when two remote sensing image correlation value between 86% and 95%, due to the remote sensing image resolution differences, shooting height difference etc., will cause land use type identification of uncertain phenomena, so 86%~95% can be said for multi-source remote sensing images of land use to identify the type of error band.
Through the LBP texture extraction algorithm multi-source remote sensing image texture feature vector, is used to identify the types of land use: two remote sensing image correlation reached 95% and, namely, two kinds of land use types are the same; correlation is less than 86%, namely two kinds of different land use type% of the 86%~95 as remote sensing images of land use type identification error. It can be seen that the recognition of the same or different land use types can be realized by using the texture feature information, which can lay the foundation for the further realization of the land use classification based on the texture of multi-source remote sensing image.
3.2. Classification based on BOW model
3.2.1. Classification of support vector machines (SVM)
In order to realize the LBP texture feature extraction based on the type of multi-source remote sensing images of land, while ensuring the integrity of texture extraction. First of all, the gray of the remote sensing image block dividing, does not increase the complexity of the K-means clustering, to avoid clustering efficiency is too low, the research choose the original remote sensing image was evenly divided as the size of a small patch of 1010, on every piece of LBP texture feature extraction, so as to ensure the land use types of texture information integrity and to improve recognition of the land use types. In order to facilitate the experimental test, the remote sensing image size used here is 100*100. How to use the BOW model and K-means clustering to describe the characteristics of the land use type of remote sensing image, after getting the LBP histogram of each small piece of remote sensing image, this paper proposes three schemes.
Scheme 1:
1. The remote sensing image is divided into a number of small pieces of patch 10*10;
2. LBP texture features extracted from each LBP and calculate the patch histogram;
3. Remote sensing image of all the K-means patch clustering, calculate the 65 point of mass;
4. Initialization frequency histogram, bin number is the number of points of the center of mass;
5. Patch to calculate all the Euclidean distance and the centroid distance, in accordance with the order from small to large;
6. Look at each patch to which the centroid of the nearest, then the center of mass corresponding to the bin plus 1;
7. In order to calculate the patch of each remote sensing image, and finally get the histogram which is represented by the 65 center of mass;
8. Histogram normalization, the land use type of each remote sensing image can be used to express the feature histogram;
9. The characteristic histogram of all the images constitute the classification of texture database, and realize the fusion of multi-source remote sensing information. So
So the method of test samples and training samples of all of the remote sensing image preprocessing, you can get all image centroid feature histogram representation, the feature histogram construction cost of land use texture database, realize the fusion of multi-source remote sensing image information, improve the texture in land use the accuracy of feature information.
To be sample classification and texture library existing land using pattern matching, using SVM classifier and libsvm toolkit for multi-source remote sensing image land use classification experiments can be obtained: when testing samples in remote sensing image a total of 30 pieces (3 * 10 pieces), income classification accuracy was 90% (27 / 30); when testing samples in remote sensing image a total of 40 (4 * 10 pieces), income classification accuracy was 80% (32 / 40). However under the premise of the remote sensing image of the same sample, repeatedly calculated accuracy results not only, for example, when the second test on the same 30 pieces of test samples for remote sensing image, the accuracy was 93% (28 / 30).
Known from the analysis of the experiment results, the classification accuracy decreases with the increase in the number of samples decreased, repeatedly test accuracy fluctuations. The reason is that LBP histogram data and more complex, and cluster centroid fluctuations, in further by calculating the center of mass of the patch with the centroid of the Euclidean distance and fluctuation further enlarged, resulting in the classification results of insufficient reliability problems.
3. Remote sensing image of all the K-means patch clustering, and given the cluster centroid point K=65;
4. The average value of the centroid of all patches in a remote sensing image;
5. The centroid of all image points of the feature vector constitutes the classification of texture database; realize the fusion of multi-source remote sensing data.
Relative scheme through calculating Euclidean distance image centroid, the second program is the centroid averaging said various remote sensing images of land use types, which greatly reduces the computational complexity. After the SVM classifier tests can be obtained: when using test samples in remote sensing image of a total of 40 (4 * 10 pieces), income classification accuracy was 97.5% (39 / 40); when using test samples in remote sensing image of a total of 56 (7 8 pieces), income classification accuracy was 98.21% (55 / 56); when the test samples in remote sensing image with a total of 80 (8 * 10 pieces), income classification accuracy was 98.75% (79 / 80).
The experimental results show that the scheme two has higher accuracy, and in the same condition, the calculation results are unique, and the fluctuation of the calculation accuracy is not. Analysis of the scheme: LBP texture feature extraction of image block, improve the integrity and accuracy of texture feature information; use cluster centroid bow image model construction, image feature value extraction, avoid secondary calculation of frequency histogram in floating classification results. Thus, compared with other schemes, this scheme has high classification accuracy and reliable results. In order to compare with the above two schemes, the following two schemes were further tested in the experiment.
Scheme 3: due to LBP texture feature extraction of remote sensing image output vector and the comparison scheme does not divide the image block direct use of test samples for land use classification, results: using test samples of 50 pieces (5 * 10 pieces), the classification of income quasi accuracy was 24% (12 / 50), under the same conditions of the, accuracy was 28%.
Visible, this program is low accuracy and the results of fluctuations.
Scheme 4: compared to the scheme and scheme using image division block implementation of K-means clustering, this scheme directly different resolution remote sensing images in the same land use types of remote sensing image of K-means clustering, namely the clustering algorithm, the input matrix for the same land use types of LBP histogram. Experimental results are obtained: when using test samples in remote sensing image of a total of 10 (2*5), income classification accuracy was 70% (7/10); when using test samples in remote sensing image of a total of 18 (3*6 pieces), income classification accuracy was 55.56% (10/18); when using sample test of remote sensing image is 24 frames (4*6 pieces), income classification accuracy was 29.17% (7/24).
Obviously, the experimental results of this scheme are low, and with the increase of the number of samples, the result is more volatile.
Analysis of the contrast shows that: This study with multi-source remote sensing image as the source of data classification, on land use types, the image resolution and image size are quite different and without the image block classification and clustering, image in the land use texture information are unable to get effective expression.
Summary and comparison of the above schemes:
Table 4--Comparison of classification schemes based on SVM
number      training   Training   Test sample    Test sample
samples    sample     remote         land use
for        land use   sensing        type
remote     type       image          number
sensing               number
42         3          30             3
Scheme 1    48         4          30             3
number      Classification   experimental result
90%(27/30)       The classification
accuracy is not stable,
Scheme 1    93%(28/30)       and the number of
samples varies
80%(32/40)       significantly.
97.5%(39/40)     Accuracy compared
to a larger upgrade,
Scheme 2    98.21%(55/56)    numerical stability,
reliability is
98.75%(79/80)    significantly
improved compared
to other programs
24%(12/50)       The accuracy is low,
the classification
Scheme 3    28%(14/50)       result is fluctuation,
and the reliability
is low.
70%(7/10)        The accuracy is low,
the numerical value
55.56(10/18)     is not stable, the
sample quantity
Scheme 4    29.17%(7/24)     change is obvious,
the precision is
According to the construction method of BOW model of land use type of multi-source remote sensing image, this study proposes four schemes. Comparison on the scheme can be concluded: compared to other design scheme, scheme of classification results with high accuracy, reliable numerical values, and therefore the choice of scheme for the SVM classifier preferred scheme, select the entire remote sensing image centroid feature vector of a land use type texture database.
3.2.2. Parameter optimization of SVM
In this study, we use RFB (cross validation method) to optimize the parameters of C and G two in SVM multi classification function on the premise of using the CV kernel function. In the second scheme based on further experimental testing: before the good samples in remote sensing image replacement for edge samples in remote sensing image and poor samples in remote sensing image, the experimental test samples in remote sensing image of a total of 80, including 8 kinds of land use types, classification results was calculated as: 91.25% 73/80. Obviously, with the addition of the edge samples and the difference samples, the calculation accuracy has declined, but after several experiments under the same conditions, the scheme still maintains the uniqueness of the results. The calculated values of C and g were brought into the svm_train model, and the classification results were obtained under the same sample condition: 95% (76/80). Visible, compared to the optimization of the previous 91.25%, the classification accuracy is higher.
3.3. Cross validation
Will this study all 176 (8*10; 8*12) remote sensing images of preprocessing, utilization scheme for the two ways set up image of the bow model and get the image feature vector representation, in order to establish eight land use texture database. In the leave one out cross validation, texture library in the entire remote sensing image in turn as a test sample and 21 training samples. Using the feature vector loop is used to test the classification, were used in the SVM classifier experiment: Using SVM classifier classification accuracy can be obtained from the average value is 96.73%.
The accuracy of the classification is more than 95%, which indicates that the texture database established in this study has good feasibility and rationality, and it shows that the research is reasonable for the fusion of multi-source remote sensing information. To sum up and combined with 3-3 can be obtained: the scheme for this study optimization plan. Using the SVM classification experiments on the preferred scheme, and to all remote sensing images as the experimental samples to improve the classification results of the scheme and persuasive, namely: at least five different side of multi-source remote sensing image with a total of 176 amplitude, the training sample 96 pieces (48), the test sample of 80 (10*8); total including 8 kinds of land use types, namely: woodland, grassland, terraces, residential areas, deserts, hills, mountains of the original, yangtao
From the table, we can see that based on scheme for the preferred scheme, selection of optimized parameters of the SVM classifier can realization based on texture of multisource remote sensing image land use classification and achieve good classification effect, also abandoned a cross validation show that the establishment of land use classification of texture is reasonable and feasible, thus proving of multi-source remote sensing data fusion for land use classification quality. In summary, scheme for the preferred scheme, SVM for the research project the preferred classifier, the entire remote sensing image centroid feature vector of constitutes the texture library; the texture library is a collection of the multi-source remote sensing data texture feature information.
Multi-source remote sensing image acquisition for this study provides the diversification of land use information and land use texture information, through the integration of multi-source remote sensing information, for texture is constructed to provide more abundant and accurate land use type characteristics to meet based on texture of multisource remote sensing image land use classification accuracy and applicability. This paper mainly according to the current land use classification of the status quo, combining texture extraction, classification method and the classification model, in order to improve the accuracy of classification of land use types for the purpose of research on this topic. The main features of this study are:
1. Using multi-source remote sensing images as the data source of classification, the classification results are more accurate and reliable;
2. put forward the idea of the land use classification method of remote sensing image based on texture;
3. Based on the BOW model theory, an algorithm for the above land use classification based on SVM is proposed;
4. By leave one out cross validation to validate the texture database. The results show that land use type texture creation can achieve good texture matching and classification function.
5. This study has good applicability, and can realize the identification and classification of various land use in the premise of ensuring the resolution of remote sensing image;
At the same time, there are some shortcomings in this research:
1. The lack of time for multi-source remote sensing images and the spectrum of multi-source;
2. Because of the complexity of remote sensing image data, remote sensing image acquisition height changes will affect land use classification accuracy. Therefore, it is necessary in the texture database with different heights of the remote sensing image to improve this problem.
3. The use of remote sensing image samples in this study is limited, and the establishment of texture library is lack of universality and integrity;
4. For a large number of complex remote sensing images, this research project may have the problem of low classification efficiency.
Outlook: the study currently only limited to remote sensing image land using types of sample test, and achieve a good identification effect, if can continue in the finite sample to derive a new sample, combined with neural network method based on remote sensing image texture of land use classification, the design method of this study will be further improvement and development.
Recebido/Submission: 10/04/2016
Aceitacao/Acceptance: 21/06/2016
This study was supported by the National Natural Science Foundation of China (No. 41401391), the Fundamental Research Funds for the Central Universities of China (No. 2014YB071), and the Exclusive Talent Funds of Northwest A&F University of China (No. 2013BSJJ017).
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Jinru Xue (1), Linya Huang (2), Baofeng Su (1), *
* bfs@nwsuaf.edu.cn
(1) College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
(2) College of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, Shaanxi, China
Table 5--Comparison of the results of different
classifiers based on the optimal scheme
SVM classifier
Before parameter    After parameter optimization
91.25%              95.0%
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Xue, Jinru; Huang, Linya; Su, Baofeng
RISTI (Revista Iberica de Sistemas e Tecnologias de Informacao)
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