基于高分可见光遥感指数的城市阴影高效提取研究
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唐晔,刘小燕,崔耀平,史志方,邓亮,陈准
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Research on Efficient Extraction of Urban Shadow based on High-resolution Visible Light Remote Sensing Index
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Ye TANG,Yaoping CUI,Xiaoyan LIU,Zhifang SHI,Zhun CHEN,Liang DENG
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表1 各精度分析区在NSVDI、USI、深度学习和OUSI的精度评价
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Table 1 Shadow detection accuracy evaluation of the NSVDI index, USI index, deep learning, and OUSI index in the six accuracy analysis areas
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方法/研究区 | 生产者精度 | 用户精度 | 总体精度 |
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阴影 | 非阴影 | 阴影 | 非阴影 |
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/% | /% | /% | /% | /% |
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NSVDI | 89.65 | 50.00 | 63.40 | 83.33 | 69.49 | 92.50 | 47.50 | 63.79 | 86.36 | 70.00 | 66.67 | 50.00 | 57.10 | 60.00 | 58.30 | 83.33 | 76.66 | 78.12 | 82.14 | 80.00 | 63.33 | 73.33 | 70.37 | 66.66 | 68.30 | 90.00 | 80.00 | 81.81 | 88.88 | 85.00 | USI | 86.20 | 93.33 | 92.59 | 87.50 | 89.83 | 80.00 | 97.50 | 96.96 | 82.97 | 88.75 | 63.33 | 86.66 | 82.61 | 70.27 | 75.00 | 86.66 | 96.66 | 96.29 | 87.87 | 91.66 | 66.66 | 96.66 | 95.23 | 74.35 | 81.66 | 76.66 | 100.00 | 100.00 | 81.08 | 88.33 | 深度学习 | 82.75 | 90.00 | 88.88 | 84.37 | 86.40 | 72.50 | 87.87 | 90.00 | 76.59 | 81.25 | 46.66 | 96.66 | 93.33 | 64.44 | 71.66 | 83.33 | 93.33 | 92.59 | 84.84 | 88.33 | 70.00 | 96.66 | 95.45 | 76.31 | 83.33 | 66.66 | 90.00 | 86.95 | 72.97 | 78.33 | OUSI | 89.65 | 93.33 | 92.85 | 90.32 | 91.52 | 82.50 | 100.00 | 100.00 | 85.00 | 91.25 | 73.33 | 96.66 | 95.65 | 78.37 | 85.00 | 96.66 | 96.66 | 96.66 | 96.66 | 96.66 | 76.66 | 96.66 | 95.83 | 80.55 | 86.66 | 83.33 | 100.00 | 100.00 | 85.71 | 91.66 |
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