%0 Journal Article
%T A Reliability-Based Multi-Algorithm Fusion Technique in Detecting Changes in Land Cover
%A Penglin Zhang
%A Wenzhong Shi
%A Man Sing Wong
%A Jiangping Chen
%J Remote Sensing
%D 2013
%I MDPI AG
%R 10.3390/rs5031134
%X Detecting land use or land cover changes is a challenging problem in analyzing images. Change-detection plays a fundamental role in most of land use or cover monitoring systems using remote-sensing techniques. The reliability of individual automatic change-detection algorithms is currently below operating requirements when considering the intrinsic uncertainty of a change-detection algorithm and the complexity of detecting changes in remote-sensing images. In particular, most of these algorithms are only suited for a specific image data source, study area and research purpose. Only a number of comprehensive change-detection methods that consider the reliability of the algorithm in different implementation situations have been reported. This study attempts to explore the advantages of combining several typical change-detection algorithms. This combination is specifically designed for a highly reliable change-detection task. Specifically, a fusion approach based on reliability is proposed for an exclusive land use or land cover change-detection. First, the reliability of each candidate algorithm is evaluated. Then, a fuzzy comprehensive evaluation is used to generate a reliable change-detection approach. This evaluation is a transformation between a one-way evaluation matrix and a weight vector computed using the reliability of each candidate algorithm. Experimental results reveal that the advantages of combining these distinct change-detection techniques are evident.
%K reliability
%K change-detection
%K multi-algorithm fusion
%K fuzzy technique
%U http://www.mdpi.com/2072-4292/5/3/1134