[GRASS-user] R: Re: i.maxlik: strange classification output and reject map

[umberto.minora]

Also, in my specific case, I would have to avoid adding other classes.
To clarify why it should be like so: my study area is a mountainuous area in
North-West Italy. I masked features such as water bodies, snow, glaciers,
vegetation, and so on, to obtain a map of bare soil only. Now, in this
unmasked area, some rock glaciers (i.e. glaciers that are "buried" in the
ground) are present. I have their locations in form of polygons, and now I
want to use these outlines as my region of interests (ROIs) for the
Supervised Classification with i.maxlik on the RGB composed by 1) the
elvation map, 2) the band4 of Landsat ETM+, and 3) the cumulative solar
radiation map.
The aim is to classify the pixels in the unmasked area out of the rock
glacier outlines which are similar to the rock glaciers with the maximum
likelihood algorithm, according to the three mentioned RGB band values. *As
I don't know what is around the rock glaciers, I am not able to specify
other classes unfortunately.*
So, is there a way I can do a Supervised with only one class in GRASS? Would
you suggest another software (better if open source)?



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