
Dear list,
I am trying to use semivariogram for texture classification for RS imagery. For this I am using the techniques of minimum distance algorithm to classy the image. To calculate minimum distance which is actually based on the gamma value of training site for each lag and those of pixel neighborhood semivariogram (which is computed for to classify each pixel). I don't have problem in calculating the semivariogram for each lag for training sites. But for calculating pixel neighborhood semivariogram I do have  problem!
 
Let me first explain what i mean for pixel neighborhood semivariogram means:
 
It is the semivariogram calculated based on the pixel under consideration for the given number of lags and number of lags is limited by the size of training site. The problem here is: How can I calculate the semivariogram for each lag for that pixel under consideration. That means the semivariogram for each lag will be only one but not like that of the conventional semivariogram where semivariogram at each lag will be the average of number of pairs found with in the reason of particular lag.
I hope, I am able to clarify myself regarding the pixel neighborhood semivariogram.
 
Now, I need help from you to write the algorithm for calculating the semivariogram for the same.
 
Thanking you
Sincerely Yours, 
Pujan
 
 
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sh_skydrive_062008
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