10 April 2018 A change detection method for remote sensing image based on LBP and SURF feature
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106154B (2018) https://doi.org/10.1117/12.2302606
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
Finding the change in multi-temporal remote sensing image is important in many the image application. Because of the infection of climate and illumination, the texture of the ground object is more stable relative to the gray in high-resolution remote sensing image. And the texture features of Local Binary Patterns (LBP) and Speeded Up Robust Features (SURF) are outstanding in extracting speed and illumination invariance. A method of change detection for matched remote sensing image pair is present, which compares the similarity by LBP and SURF to detect the change and unchanged of the block after blocking the image. And region growing is adopted to process the block edge zone. The experiment results show that the method can endure some illumination change and slight texture change of the ground object.
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Lei Hu, Hao Yang, Jin Li, Yun Zhang, "A change detection method for remote sensing image based on LBP and SURF feature", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106154B (10 April 2018); doi: 10.1117/12.2302606; https://doi.org/10.1117/12.2302606
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