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Last Post 11 Nov 2012 01:33 AM by  anon
Combining rule images through band math
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anon



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11 Nov 2012 01:33 AM
    Hello, how can i combine the results from different classifications (i have rule images from SVM, Neural Net...etc.) = namely rule images - in one final classifikation file in band math? Just adding all rule images or multiplying or is there another way that is appropriate for this goal? Thanks!

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    12 Nov 2012 02:08 AM
    You have to first think of the strategy you are going to use for combining different classifiers. One way to go is to assign a pixel to most occurring class accross different classifiers ! lets say in your case with svm and NN, you assign a pixel to a class represented by both svm and ANN if they are same otherwise you can look at the rule set, assign one with highest probability if the class from svm and NN is different. In both case, simple band math would not be enough but you have to write your custom function in IDL. Hope this helps.
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