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LAKSHMI

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I am doing my masters in geoinformatics. My thesis topic is MODELING OF SPATIAL OBJECTS FOR LAND COVER CLASSIFICATION USING FUZZY TOPOLOGY. I need to calculate a measure of the distance of a pixel from its mean pixel. for that I need to calculate (x-m)T* (cov©)-1 * (x-m)

where x- pixel vector

m-mean vector of the sample (signeture for supervised classification

T-transpose function

cov©-covariance matrix of the sample

I have a raster image from which x can be taken, mean and covariance matrices. I made a model to calculate (x-m) and got a result as a raster image. can anyone help me to proceed further ?

 

 

 

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