The Konohen Self organizing maps produce the projection of multi-band data onto the optimal subspace in 2D capturing both the spectral and spatial characteristics of the data. This is a very interesting unsupervised classifier. The results obatained from it can be scaled bilinearly to cluster classes, a 16x16 SOM classifier produces 256 classes. Here is again the classic landsat sample with 256 SOM classes.
Sunday, December 27, 2009
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1 comment:
Great work!
We need a Monteverdi plugin now!
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