Sunday, December 27, 2009

The right colour table - SOM Classifier

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.

1 comment:

Jordi Inglada said...

Great work!

We need a Monteverdi plugin now!