Object-oriented multi-feature fusion change detection method for high resolution remote sensing image

High resolution satellite images offer abundance information of the earth surface for remote sensing applications. For two decades, the detection and monitoring of change using high resolution satellite images has been a topic of interest in remote sensing. Recent investigations have shown that the pixel-based analysis of change detection for high resolution images has explicit limits. Using object-based techniques some problems of pixel-based image analysis could be overcome. In this paper, a novel object-oriented change detection method for high resolution image using multi-feature fusion is introduced. The main steps of this method are :segment the image, choose optimized features from spectral features, texture features, shape features of the segment objects, use optimized features to do change detection, make fusion of the preliminary change detection results of the different optimized features to get the final result. Experiments show that the method has a stronger advantage than the traditional pixel-level methods for high resolution remote sensing image change detection.