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

[joel dinis]

Hello to all,

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