joel dinis wrote:
Hello Micha,
I put r.info <http://r.info/> -r amostras
as sugested, get the following:
min=112
max=512
So, if I understand correctly, you are trying to classify into 400
separate classes?!
I'm a beginner with image classification, and others with more
experience will know better, but I'll bet that's your problem. There
must be many separate training areas (with different cat values) with a
very similar spectral signature, and the algorithm is not able to
differentiate between them.
(This values are index to my classes.)
JD
On Tue, Apr 6, 2010 at 4:39 PM, Micha Silver <[email protected]
<mailto:[email protected]>> wrote:
Nikos Alexandris wrote:
(sorry for re-sorting the message, just to keep it easy to
follow-up)
joel dinis:
> I trying to classify remote sensing imagery, and
> I thought to try the i.smap module, but
> when I run the i.gensigset,
Nikos Alexandris:
Please, could you copy-paste the exact command you
used?
Does the "maxsig=" (e.g. maxsig=20) make any
difference?
joel dinis:
In fact, I put maxsig=30.
i.gensigset trainingmap=amostras group=grupo subgroup=subgrupo
signaturefile=assinaturas maxsig=30
What about smaller maxsig's, like:
- maxsig=25
- maxsig=20
- maxsig=15
?
Nikos
Also it might help to know what is contained in the trainingmap. i.e:
r.info <http://r.info> -r amostras
> 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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Micha Silver
Arava Development Co. +972-52-3665918
http://www.surfaces.co.il
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Micha Silver
Arava Development Co. +972-52-3665918
http://www.surfaces.co.il
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