chiyi y
unread,Dec 22, 2022, 8:21:43 PM12/22/22Sign in to reply to author
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to qgisbrasil
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, but 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. In 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.