基于分布式感知深度神经网络的高分辨率PM2.5值估算
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刘基伟, 闵素芹, 金梦迪
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High resolution PM2.5 estimation based on the distributed perception deep neural network model
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LIU Jiwei, MIN Suqin, JIN Mengdi
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表2 多视图与单视图插补精度检验
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Tab. 2 Interpolation accuracy tests of multi-view and single-view interpolation
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| 评价标准 | 多视图 | | 时间视图 | | 空间视图 | | 局部视图 | | 全局视图 | | RE(%) | MAE(μg/m3) | RE(%) | MAE(μg/m3) | RE(%) | MAE(μg/m3) | RE(%) | MAE(μg/m3) | RE(%) | MAE(μg/m3) | | PM2.5 | 21.3 | 7.3 | | 68.0 | 24.7 | | 19.1 | 6.8 | | 17.8 | 5.9 | | 16.2 | 5.2 | | AOD | 24.6 | 113.4 | 76.8 | 283.9 | 12.3 | 60.2 | 20.9 | 110.6 | 22.6 | 76.2 | | AODs | 52.7 | 136.6 | 104.5 | 357.2 | 50.6 | 116.7 | 33.7 | 116.4 | 87.6 | 151.2 | | NDVI | 26.4 | 0.05 | 49.8 | 0.12 | 12.9 | 0.02 | 20.0 | 0.03 | 12.3 | 0.02 | | 气象 | 12.5 | \ | 36.3 | \ | 15.5 | \ | 15.5 | \ | 21.8 | \ | | 平均结果 | 27.5 | \ | 67.8 | \ | 22.1 | \ | 21.5 | \ | 32.1 | \ |
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