hello every one,
I apply H Alpha duel pol decomposition on sentinel SLC vv/vh image with this steps.
split-deburst- subset my study area- apply orbit file- calibration(save in complex)- polarimetric filter (refined lee with 7*7 window size that output has 4 band contains c11, c12_real, c12_image and c22)- H Alpha duel pol decomposition- range dopller trrein correction.
range of alpha Between 22.13 to 88.6 and entropy Between 0.05 to 0.994 and anisotropy Between 0.087 to 0.989.
In this picture you can see the RGB color combination of entropy, anisotropy and alpha .
and this image you can see NDVI image
radar and optic images acquisition time is too close together.
this image is a flat agricultural region with Small and relatively large at about 1 ha farms. but in RGB color combination of entropy, anisotropy and alpha Nothing is unknown. when I classify stacked ndvi image with entropy, anisotropy and alpha overall accuracy Much less than alone NDVI classifying .
Is it due to the small size of farms is decreasing classification accuracy?
Is there a flaw in my analysis steps?