I am trying to get a supervised classification to work in SNAP but each time I am getting 100% classification in one class. I have imported an image, resampled and subset it. I have then drawn a number of training polygons on it but when I classify with either RF or maximum likelihood it just gives me one class as 100% and in the frequency table there are just diamonds with ? in.
I read the previous posts about this and the need to reproject which I have done but when I do this I am left with a black screen just showing my training polygons. I reprojected to WGS 84/UTM automatic.
Any help on this would be very much appreciated as I am not sure where I am going wrong here.