Fuzzy Based Unsupervised Change Detection using Grap Based Digital Surface Model

—A new invention of satellite hyper spectral (HS) sensors can acquire very comprehensive shadowlike information directly related to land surface materials. Change Detection (CD) is the procedure that recognizes the changes occurred between more than two images based on the image assets. In case like tragedy management, the quick and accurate discovery of precious regions in images obtained at two different time instances that is before and after the disaster play a vital role in taking appropriate decision. In this paper proposed on adaptive change detection method based on fuzzy logic and graph representation, which is aimed at identifying all the possible change classes present between the considered images. The proposed novel fuzzification scheme is developed by considering spectral change information to identify the change classes having discriminable spectral behaviors.