15 November 2017 Change detection from remote sensing images based on fractional integral and improved FLICM
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Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 1060522 (2017) https://doi.org/10.1117/12.2292656
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China
Abstract
This paper presents a new change detection method based on fractional integral and improved FLICM clustering. Firstly, the log-ratio operator is applied to obtain the difference image from two registered and corrected remote sensing images; and then, the fractional integral operator is introduced to de-nosing and preserve the edge and texture information of the difference image; Finally, the improved FLICM is carried out to get the change areas, which fully considering the pixel neighborhood information and the spatial distance information of the objective function. Experimental results show that the proposed algorithm has strong ability to suppress noise, and can obtain good detection results.
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Fengping Wang, Weixing Wang, Ting Cao, Weiwei Chen, "Change detection from remote sensing images based on fractional integral and improved FLICM", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 1060522 (15 November 2017); doi: 10.1117/12.2292656; https://doi.org/10.1117/12.2292656
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