I have a Quick Bird image and i use feature extraction to extract 8 classes of interest (grass, trees, buldings, roads, ect). I apply this function 8 time for 8 classes that i need with other tipes of segmentation, masks and ancilary data. Now i have 8 classification image and i need to combine the class of interest from each classification to one classification image. The final result must be a classification image because i need to use confusion matrix to see if is the best method for classification.
It is a little bit urgent to know how can i solve this problem. I can't use only one feature extraction baed on rules for all classification.
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