Hi,
I am currently working on a semantic segmentation project based on satellite images,
I was doing some research and I chance upon this thing called gaussian filter where the weights of the
filter are concentrated in the middle. However I am confused as to what it really is and where do I apply this in my model. Is a gaussian filter/kernel a data augmentation? Is it the same as gaussian blur or gaussian noise? or issit something I have to imlpement on my conv layers when they have kernels inside. Hope someone can explain this to me thank you!