Change Recognition for Multispectral Remote Sensing Images by Using Mr Method

In this paper we propose to solve the change detection problem in multi temporal remote-sensing images using interactive segmentation methods in Graphical User Interface. The user needs to input markers related to no-change and change classes in the difference image. Then, the pixels under these markers are used by the support vector machine classifier to generate a spectral change map. To enhance further the result, we include the spatial contextual information in the decision process using two different solutions based on (MR method) Markov random field and level set methods. While the first one is a region-driven method, the second one exploits both region and contour for performing the segmentation task. Experiments conducted on a set of four real remote-sensing images acquired by low as well as very high spatial resolution sensors and referring to different kinds of changes confirm the attractive capabilities of the proposed methods in generating accurate CD maps with simple and minimal