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Last Post 01 Aug 2008 12:12 PM by  anon
Rule images for maximum likelihood classification
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anon



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01 Aug 2008 12:12 PM
    I`m triying to compare some supervised classifications and I need to use the rule images for the maximum likelihood classification. I cannot use these images because they have values ranging from -300.000 up to 100. I have tried to change the scale factor several times, but I cannot obtain any reasonable values... What I need is a probability image ranging from 0-1 or any other proportional variation. Can anyone help me?, With the rule classifier I only obtain binary images (0 or 1 values), but not the probability images. Thanks

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    01 Nov 2012 12:32 PM
    what does it mean with EXP(Ri) in Band math? what should i write there? is this a summe of all rule images? because i tried and get only black images after that....

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    01 Nov 2012 12:32 PM
    what does it mean with EXP(Ri) in Band math? what should i write there? is this a summe of all rule images? because i tried and get only black images after that....
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