how to apply SVM algorithm for classification for multispectral remote sensing data?

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i am going to separate various colors from the image using SVM so want to know how to start ?

Accepted Answer

Image Analyst
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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Priyanka Athawale
Priyanka Athawale on 8 Jan 2014
dear sir , thank u for the reply !! m sure I want to go with SVM for multicolor(multiclass) classification on remote sensing image. but Am very confused from where to start? please if u have any idea plz help me for the same.the classes may be 3 , 4 , 5 because my aim is to classify various crops on Indian agricultural land .

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More Answers (1)

Yinguang Li
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.
  1 Comment
Priyanka Athawale
Priyanka Athawale on 8 Jan 2014
hello sir,
thank u for ur reply ..!! I have statistic toolbox , N got the option feature selection there . but how to proceed for SVM after that? and I have only one image , so how to check its accuracy , whether the classification is accurate or not??

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