When I used dzetsaka plug-in of QGIS to process the SAR image of Gaofen No. 3 satellite, I wanted to use Gaussian mixture model and random forest for classification according to the different attributes (0,1) of the sample point markers I selected. However, it always failed to classify correctly.
It could only classify the part with pixel value and the part without data value. When I used Random Forest, it showed that my raster data and my layer projection were different, but they were the same. What is the reason for this? Can it be solved?
I can't tell if this plugin isn't perfect enough, because I can categorize it correctly using other people's examples. At the end, I managed to classify random forest on ENVI, but now there seems to be no other way to classify Gaussian mixture except QGIS dzetsaka and write code.
