A cloud detection algorithm using edge detection and information entropy over urban area

Hong Zheng; Tianxiao Wen; Zhen Li

doi:10.1117/12.2033522

26 October 2013 A cloud detection algorithm using edge detection and information entropy over urban area

Hong Zheng, Tianxiao Wen, Zhen Li

Proceedings Volume 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 892104 (2013) https://doi.org/10.1117/12.2033522
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

Aiming at detecting cloud interference over urban area, an algorithm in this research is proposed to detect urban cloud area combining extracting edge information with information entropy, focusing on distinguishing complex surface features accurately to retain intact surface information. Firstly, image edge sharpening is used. Secondly, Canny edge detector and closing operation are applied to extract and strengthen edge features. Thirdly, information entropy extraction is adopted to ensure cloud positional accuracy. Compared with traditional cloud detection methods, this algorithm protects the integrity of urban surface features efficiently, improving the segmentation accuracy. Test results prove the effectiveness of this algorithm.

Citation Download Citation

Hong Zheng, Tianxiao Wen, and Zhen Li "A cloud detection algorithm using edge detection and information entropy over urban area", Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 892104 (26 October 2013); https://doi.org/10.1117/12.2033522

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