Electives*: Visual C#.NET Mobile GIS technologies and applications Geospatial and customization Remote Sensing and GIS for infrastructure & Utilities Planning and Management Note: 1 session of theory = 1hr 40 minutes = 2 periods 1 session of practical = 3 hrs 20 minutes = 4 periods II Year, I SEMESTER Sl. INT. EXT. Subject L P C No MARKS Comprehensive - 100 - - 4 1 viva voce Project Work 2 50 - - 24 12 Review I Total 24 16 II Year, II SEMESTER Sl. INT. Subject EXT. L P C No MARKS Project Work 1 50 - - 8 4 Review II Project Evaluation 2 - 150 - 16 12 (Viva-Voce) Total 24 16 SIT 1.1- DIGITAL IMAGE PROCESSING – Unit - I: Sources and Characteristics of Remote Sensing Images Characteristics of digital image data, spatial data sources, Types of spatial data resolutions- spatial, spectral, radiometric, temporal and angular. Data acquisition & storage - data formats. Image processing systems- IDRISI, ILWIS, ERDAS Imagine, ENVI, e-Cognition etc. Unit - II: Image Preprocessing
Electives*: Visual C#.NET Mobile GIS technologies and applications Geospatial and customization Remote Sensing and GIS for infrastructure & Utilities Planning and Management Note: 1 session of theory = 1hr 40 minutes = 2 periods 1 session of practical = 3 hrs 20 minutes = 4 periods II Year, I SEMESTER Sl. No Subject INT. EXT. MARKS L P C 1 Comprehensive viva voce - 100 - - 4 2 Project Work Review I 50 - - 24 12 Total 24 16 II Year, II SEMESTER Sl. No Subject INT. MARKS EXT. L P C 1 Project Work Review II 50 - - 8 4 2 Project Evaluation (Viva-Voce) - 150 - 16 12 Total 24 16 SIT – 1.1- DIGITAL IMAGE PROCESSING Unit - I: Sources and Characteristics of Remote Sensing Images Characteristics of digital image data, spatial data sources, Types of spatial data resolutions- spatial, spectral, radiometric, temporal and angular. Data acquisition & storage - data formats. Image processing systems- IDRISI, ILWIS, ERDAS Imagine, ENVI, e-Cognition etc. Unit - II: Image Preprocessing
MTech_Spatial_Information_Technology_2016.docx