how to apply SVM algorithm for classification for multispectral remote sensing data?
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Priyanka Athawale
on 7 Jan 2014
Edited: Walter Roberson
on 23 Nov 2016
i am going to separate various colors from the image using SVM so want to know how to start ?
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Image Analyst
on 7 Jan 2014
How many color classes do you have? Are you sure SVM is the best approach - why do you want to use it? I think it's mainly for two class situations but there is a multi-class extension to it.
I have some color segmentation demos in my File Exchange: http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862
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Image Analyst
on 8 Jan 2014
Sorry, I have not used multi-class SVM for color classification (yet). You will find color classification algorithms for remote sensing images here: http://iris.usc.edu/Vision-Notes/bibliography/contentscartog.html#Cartography,%20Aerial%20Images,%20Remote%20Sensing,%20Buildings,%20Roads,%20Terrain,%20ATR
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Yinguang Li
on 7 Jan 2014
You can go to the website http://www.mathworks.com/help/stats/support-vector-machines.html for more information, or type 'demo toolbox statistics' in your matlab command window suppose you have a statistical toolbox installed.
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