A Reliability-Based Multi-Algorithm Fusion Technique in Detecting Changes in Land Cover
AbstractDetecting 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.
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Zhang, P.; Shi, W.; Wong, M.S.; Chen, J. A Reliability-Based Multi-Algorithm Fusion Technique in Detecting Changes in Land Cover. Remote Sens. 2013, 5, 1134-1151.
Zhang P, Shi W, Wong MS, Chen J. A Reliability-Based Multi-Algorithm Fusion Technique in Detecting Changes in Land Cover. Remote Sensing. 2013; 5(3):1134-1151.Chicago/Turabian Style
Zhang, Penglin; Shi, Wenzhong; Wong, Man S.; Chen, Jiangping. 2013. "A Reliability-Based Multi-Algorithm Fusion Technique in Detecting Changes in Land Cover." Remote Sens. 5, no. 3: 1134-1151.