Cloud detection method of FY-2G satellite images based on random forest

doi:10.13474/j.cnki.11-2246.2019.0079

Abstract

Abstract: According to the principle of cloud detection in remote sensing images,a method based on the random forest was proposed in this paper and applied to FY-2G images.Combining the cloud inspection product of the National Meteorological Satellite Center (NSMC) for accuracy testing of the algorithm,the accuracy test of the cloud detection shows that the Probability of Detection (POD) is 88.32%,the minimum False Alarm Rate (FAR) is 9.36%,and the Critical Success Index (CSI) is 80.14%.The results show that the method can improve the accuracy of cloud detection effectively,and identify the partial misjudgment in NSMC correctly.

Key words: cloud detection, NSMC, random forest, Otsu, FY-2G

CLC Number:

P237

FU Hualian, FENG Jie, LI Jun, LIU Jun. Cloud detection method of FY-2G satellite images based on random forest[J]. 测绘通报, 2019, 0(3): 61-66.

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