A method of urban change detection using high spatial resolution remotely sensed data

Change information is a kind important signal in the remote sensing image, and automatically detecting it has become important field of intelligent interpreting the Remote Sensing Image. Guided by the theory of neighboring correlation and decision tree and based on the object-oriented technique, we propose a method that can detect the change information of two kinds of high remote sensing images that area from the same are but not the same time, finishing the intelligent change detection of the change information; subsequently this paper introduces the method principle, establishment rules and its realization process. At last, we make a test for the Quick Bird image and IKONOS image which are in the same area but not at the same phase, the results showed that it is feasible to detect the change information of the high resolution images using the automatic change detection based on the object-oriented technology , moreover, it owns accurate estimates.