Automatic and accurate cloud detection for Fengyun meteorological satellite

doi:10.13474/j.cnki.11-2246.2019.0384

Abstract

Abstract: The matting technique can accurately detect the difference between the foreground and the background, but most of the existing matting algorithms need to give the foreground and background markings in advance, which has obvious limitations in the mass image processing. In this paper, the matting technology is introduced into the cloud detection of Fengyun meteorological satellite images, and an automatic fine cloud detection algorithm based on connected regions is proposed. Firstly, the gray visible image is binarized by ensemble threshold methods, and the preliminary bipartite map is obtained by the voting method. On this basis, the connected regions are calculated, and the center of gravity of the connected regions are taken as the seed point, and then triple map based on the connected regions is automatically generated. Finally, the closed-form matting algorithm is used to solve the alpha value to obtain fine cloud detection results. The proposed method is compared with the learning and robust matting-based cloud detection algorithms. The experiments show that the proposed method can automatically detect multiple types of clouds better and has higher accuracy.

Key words: Fengyun meteorological satellite, cloud detection, ensemble threshold, connected region, close-form matting

CLC Number:

P237

LIU Jun, ZHENG Qunfeng, XING Xiuwei, CHEN Xunlai, CHEN Qian, QIAN Jing. Automatic and accurate cloud detection for Fengyun meteorological satellite[J]. Bulletin of Surveying and Mapping, 2019, 0(12): 45-49.

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