[GRASS-user] A problem with i.gensigset.

Nikos Alexandris nikos.alexandris at felis.uni-freiburg.de
Tue Apr 6 11:04:08 EDT 2010


joel dinis wrote:
> I trying to classify remote sensing imagery, and
> I thought to try the i.smap module, but 
> when I run the i.gensigset,

Please, could you copy-paste the exact command you used?
Does the "maxsig=" (e.g. maxsig=20) make any difference?

Nikos

>  I always
> get the same problem:
> ... 
> Removed a singular subsignature number 1 (9 remain)
> Removed a singular subsignature number 1 (8 remain)
> Removed a singular subsignature number 1 (7 remain)
> Removed a singular subsignature number 1 (6 remain)
> Removed a singular subsignature number 1 (5 remain)
> Removed a singular subsignature number 1 (4 remain)
> Removed a singular subsignature number 1 (3 remain)
> Removed a singular subsignature number 1 (2 remain)
> Removed a singular subsignature number 1 (1 remain)
> Unreliable clustering. Try a smaller initial number of clusters
> Removed a singular subsignature number 1 (-1 remain)
> Unreliable clustering. Try a smaller initial number of clusters
> Number of subclasses is 0
> Clustering class 12 (184 pixels)...
> Removed a singular subsignature number 1 (9 remain)
> Removed a singular subsignature number 1 (8 remain)
> Removed a singular subsignature number 1 (7 remain)
> Removed a singular subsignature number 1 (6 remain)
> Removed a singular subsignature number 1 (5 remain)
> Removed a singular subsignature number 1 (4 remain)
> Removed a singular subsignature number 1 (3 remain)
> Removed a singular subsignature number 1 (2 remain)
> Removed a singular subsignature number 1 (1 remain)
> Unreliable clustering. Try a smaller initial number of clusters
> Removed a singular subsignature number 1 (-1 remain)
> Unreliable clustering. Try a smaller initial number of clusters
> Number of subclasses is 0
> i.gensigset complete.
> 
> And afterwards the signature file doesn't have any
> spectral information. I really don't understand whats happening
> and the cause to this outcome. 
> 
> Can anyone solve this "enigma"? 
> 
> Ps: I don't know if this information is important: I collected  
> about 450 samples distributed by 10 classes. I may also
> add that the average number of pixels per sample is around 50.
> 
> And thanks list, for the previous tips: they were very useful.



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