Satellite image classification using neural networks

I am trying to classify satellite images using SOM(self organizing maps)..Can someone please give me an idea , how to go about it..

Answer 1

[Greg Heath]

Kohonen created SOM for visualization, not regression or classification.

For classification he created LVQ and LVQ2. All three of Kohonen's algorithms are documented in the NN Toolbox.

For regression and classification the Multilayer Perceptron (NEWFF, NEWFIT and PATTERNNET) and Radial Basis Function (NEWRB) are, typically, superior.

After reading the documentation, try duplicating the demos and examples. Searching for relevant Newsgroup postings may also help.

Write back if you have further questions.

Hope this helps.

Greg

[Sandhya Sivasubramanyam]

Thank you for your reply!

Could you please tell me which features should I extract from the satellite image to give as inputs to the LVQ or MLP network?

And please elaborate a little, if possible, on the feature extraction part..

Answer 2

[Sandhya Sivasubramanyam]

Thank you for your reply! Could you please tell me which features should I extract from the satellite image to give as inputs to the LVQ or MLP network? And please elaborate a little, if possible, on the feature extraction part..