结合图像特征的支持向量机高分一号云检测
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栗旭升, 刘玉锋, 陈冬花, 刘赛赛, 李虎
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Cloud detection based on support vector machine with image features for GF-1 data
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LI Xusheng, LIU Yufeng, CHEN Donghua, LIU Saisai, LI Hu
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表4 不同云检测方法精度对比
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Tab.4 Comparison of accuracy of different cloud detection methods(%)
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云层类型 | 衡量指标 | 最大似 然值法 | 传统支持 向量机法 | 本文 方法 | 平均 指标 | 层云 | PR | 95.5 | 97.9 | 99.2 | 97.5 | RR | 69.7 | 85.9 | 97.8 | 84.5 | ER | 9.2 | 3.2 | 1.1 | 4.5 | 卷云 | PR | 97.5 | 97.8 | 99.5 | 98.3 | RR | 58.1 | 79.8 | 96.3 | 78.1 | ER | 8.4 | 4.3 | 0.7 | 4.5 | 积云 | PR | 99.2 | 98.9 | 99.8 | 99.3 | RR | 87.6 | 89.5 | 93.9 | 90.3 | ER | 1.7 | 2.2 | 0.5 | 1.5 | 点状云 | PR | 99.6 | 99.7 | 99.8 | 99.7 | RR | 80.8 | 90.2 | 95.6 | 88.9 | ER | 1.2 | 4.2 | 0.6 | 2.0 |
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