Hi Eric,
great work with the i.segment, I just made a test with the NC Landsat
sample data:
i.segment -w -l group=lsat7_2000 output=testsegment threshold=4 \
method=region_growing similarity=euclidean minsize=20
The result looks already pretty nice without further parameter tuning.
It would now be cool to susequently perform a unsupervised classification
with, say, i.cluster/i.maxlik in order to group the segments to a certain
number of classes.
Would that be feasible from the resulting image statistics?
thanks
MarkusN
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