By the way, I will create ( sigma0VH / sigma0VV ) ratio band. Should I do it before GLCM or after?
After I calculate GLCM, I will do classification with using VH, VV and VH/VV ratio bands in dB scale. So I am a little confused. Should I create VH/VV band before GLCM to have entropy, energy, contrast etc values for VH/VV band and check if it improves my classification results.
The thing you should take in your consideration, this value whatever you selected doesn’t meet the minimum of all your input raster, that’s why I think some of your input will be out, I think the better solution is to switch to vector training,
I wanna to use RF to classfy the GRD of sentinel-1 ,the images can processed in the snap software whole now?please reply me as soon as possible.thanks in advance!
just as your advices ,I had do it on snap with RF to classfy the GRD products,my steps like :GRD-calibrated- GLCM-filtering-Muitilook-Terrain correction-RF(not train the samples),is it right?I wnna to classfy the product to 3 types.if not what should i do?
please reply me ,thanks in advance!
To do a supervised classification you need vector training areas.
You cannot use the textures as training bands because they do not store classified information.
If you have no training vectors you can only do an unsupervised classification.
Hi. I have a question. What is recommended: calculate GLCM with bands in dB scale or with original scale? I did a test and results were very different visually. Could you help me @ABraun? Thank you so much