Object-oriented change detection method based on multi-scale and multi-feature fusion

High resolution satellite images offer abundance information of the earth surface for remote sensing applications. Using change detection technology to extract the target area changes from high resolution remote sensing images and rapidly update map database has become a focus research of remote sensing information processing. However the traditional methods of change detection are not suitable for high resolution remote sensing images. To overcome the limitations of traditional pixel-level change detection methods and the difficulties of change detection of high resolution remote sensing images, based on object-oriented analysis method, this paper presents a novel way of multi-scale and multi-feature fusion for high resolution remote sensing images change detection. Experiments show that this method has a stronger advantage than the traditional pixel-level method of high resolution remote sensing image change detection.