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Thread Subject:
Neural Network Image Classification

Subject: Neural Network Image Classification

From: Greg Heath

Date: 4 May, 2013 02:03:12

Message: 1 of 1

May 2, 2013 05:05:06 PM, wrote:

>I met a problem in neural network when doing remote sensing image classification.
>The problem is that the classification is not stable as to training samples. In the code,
>I use simple random sampling. I can accept the fact that we could get different results
>for different sampling. However, in many cases, some classes are not classified at all.

Try stratified random sampling to get uniform training priors.

How can you not get a classification? Aren't you using columns of the unit matrix as targets and vec2ind on your posterior probability estimates?

Hope this helps.


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