Change detection in multispectral images based on multiband structural information

Abstract

ABSTRACTChange vector analysis (CVA) and spectral angle mapper (SAM) are usually used to generate difference image in change detection of multispectral images. Although CVA and SAM can describe the difference between multispectral images, they are defined mathematically and lack support of human visual system (HVS) theory. Advanced structural similarity (ASSIM) complies with the pattern that human perceives the changes occurred in an objective scene. Nevertheless, ASSIM was designed for single band images and cannot be used for extracting multiband structural information from multispectral images directly. Therefore, we first propose two strategies to extract multiband structural information from multiband images. Then, we propose the approaches based on multiband structural information for change detection in multispectral images. Experimental results from one semisynthetic data set and two real data sets acquired by Sentinel-2A and QuickBird satellites validate the effectiveness of the proposed approaches.