基于Sentinel-2A的孙吴地区土壤有机质反演研究
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陈超群, 戴慧敏, 冯雨林, 杨泽, 杨佳佳
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Sentinel-2A based inversion of the organic matter content of soil in the Sunwu area
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CHEN Chao-Qun, DAI Hui-Min, FENG Yu-Lin, YANG Ze, YANG Jia-Jia
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表5 基于BP神经网络模型的土壤有机质反演
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Table 5 Inversion of soil organic matter by BP neural network
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| 数学变换 | 隐藏层个数 | 建模集 | 测试集 | R2 | RMSE/% | R2 | RMSE/% | 相 关 性 | R | 5 | 0.3635 | 1.3998 | 0.2711 | 1.4472 | 1/R | 11 | 0.2816 | 1.4057 | 0.2291 | 1.4283 | lgR | 6 | 0.3392 | 1.3967 | 0.2818 | 1.4207 | Ra | 11 | 0.2726 | 1.4041 | 0.2388 | 1.4555 | FDR | 10 | 0.2074 | 1.4149 | 0.1697 | 1.4368 | SDR | 9 | 0.2005 | 1.4106 | 0.1977 | 1.4388 | FDLR | 6 | 0.6237 | 1.3548 | 0.4446 | 1.2664 | 组合 | 16 | 0.5637 | 1.3548 | 0.4305 | 1.3659 | 随 机 森 林 | R | 7 | 0.2906 | 1.4000 | 0.2601 | 1.4362 | 1/R | 7 | 0.2603 | 1.4068 | 0.2241 | 1.4262 | lgR | 14 | 0.2883 | 1.4068 | 0.2664 | 1.4231 | Ra | 14 | 0.1663 | 1.4152 | 0.2499 | 1.4200 | FDR | 7 | 0.3751 | 1.3980 | 0.2860 | 1.4090 | SDR | 11 | 0.2783 | 1.4107 | 0.2057 | 1.4520 | FDLR | 13 | 0.4544 | 1.3750 | 0.3653 | 1.2420 | 组合 | 16 | 0.7245 | 1.3127 | 0.5418 | 1.3722 |
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