I have a question regarding Maximum likelihood classification (maybe same for other classification method as well).
I have some 5 classes and per any classes, I choose 25000 pixels as samples; so based on this I should have 125000 pixels for training. When I put this amount in table 1 (number of training samples) in SNAP, then the run time takes a lot and my computer does not work.
So I have to chose small amount of samples. I choose 10000 and SNAP worked with it but I do not know then, how SNAP chose these 10000 sample pixels between 125000 sample pixels.
Is this way correct or not?
Does SNAP take them randomly?