Blumentrath, Stefan wrote: > Hi Nikos Hallo Stefan,
> I had similar problems with this module. My experience with i.gensigset is, > that it can be quite sensitive for how training areas aredistributed and > how well they can be distinguished. Interesting. The only "failure" I was able, so far, to verify is that the training areas should not capture NULL pixels in the to-be-classified image(s). Can't trace though my posts about this (few years back). > I do not know the algorithm nor what exactly the problem was in my case. But > I solved this error message by adjusting the training areas in a way that I > added training areas for classes where I had a relatively lower number of > pixels (compared to the number of pixels in other classes) in a first try > and removed/reshaped possibly conflicting training units in order to avoid > overapp in subsignatures across classes. Will try (soon I think == within the next 2 weeks). > I do not know how you generated your training areas, but maybe you have a > chance to try adjusting them... It was a (quick) test only, I remember: created 3 sets of random points (some MASKed region, thus no NULL pixels included), buffered them to rational radiuses, labeled them (one 'val' for each set), grouped them, fed i.gensigset. > Hope that helps and I am interested in what does the trick for you or what > other, more experienced, users say on that topic... Will feed-back when the time comes. Danke, Nikos _______________________________________________ grass-dev mailing list [email protected] http://lists.osgeo.org/mailman/listinfo/grass-dev
