基于全波段高光谱的冬小麦生长参数估算方法比较
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纪景纯, 刘建立, 牛玉洁, 宣可凡, 蒋一飞, 邓皓东, 李晓鹏
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Comparison of Estimation Methods for Growth Parameters of Winter Wheat Based on Full-Band Hyperspectral Data
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Ji Jingchun, Liu Jianli, Niu Yujie, Xuan Kefan, Jiang Yifei, Deng Haodong, Li Xiaopeng
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表2 PLSR、SVR和FNN模型的建模评价指标
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Table 2 The evaluation indicators of PLSR, SVR and FNN model in calibration set
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模型Model | 生育期 Growth stage | 地上部生物量 Aboveground biomass | | LAI | | 全氮含量 Total nitrogen content | | 叶绿素浓度 Chlorophyll concentration | R2 | RMSE (g/m2) | MAPE (%) | | R2 | RMSE | MAPE (%) | | R2 | RMSE (%) | MAPE (%) | | R2 | RMSE (μmol/m2) | MAPE (%) | PLSR | 拔节期Jointing | 0.90 | 18.61 | 10.58 | | 0.93 | 0.13 | 9.43 | | 0.90 | 0.12 | 4.96 | | 0.91 | 34.51 | 7.03 | | 孕穗期Booting | 0.87 | 63.87 | 8.73 | | 0.95 | 0.34 | 9.22 | | 0.92 | 0.09 | 3.36 | | 0.91 | 37.43 | 6.65 | | 扬花期Anthesis | 0.92 | 79.83 | 6.57 | | 0.93 | 0.39 | 8.46 | | 0.91 | 0.10 | 4.44 | | 0.86 | 50.92 | 8.40 | | 乳熟期Milk ripe | 0.91 | 124.83 | 8.09 | | 0.94 | 0.36 | 7.84 | | 0.94 | 0.13 | 6.40 | | 0.94 | 35.01 | 8.19 | SVR | 拔节期Jointing | 0.92 | 16.31 | 7.53 | | 0.95 | 0.11 | 5.46 | | 0.98 | 0.05 | 1.70 | | 0.94 | 28.02 | 4.93 | | 孕穗期Booting | 0.91 | 53.30 | 6.36 | | 0.97 | 0.25 | 4.55 | | 0.97 | 0.05 | 1.70 | | 0.93 | 32.54 | 5.32 | | 扬花期Anthesis | 0.94 | 72.77 | 5.38 | | 0.94 | 0.35 | 5.96 | | 0.94 | 0.08 | 3.14 | | 0.89 | 45.00 | 6.49 | | 乳熟期Milk ripe | 0.95 | 94.46 | 5.25 | | 0.95 | 0.32 | 5.65 | | 0.97 | 0.10 | 3.54 | | 0.96 | 26.25 | 4.70 | FNN | 拔节期Jointing | 0.93 | 15.37 | 7.58 | | 0.96 | 0.10 | 6.03 | | 0.97 | 0.06 | 2.13 | | 0.96 | 24.50 | 4.45 | | 孕穗期Booting | 0.92 | 49.69 | 6.80 | | 0.96 | 0.29 | 5.96 | | 0.96 | 0.07 | 2.25 | | 0.93 | 33.44 | 5.26 | | 扬花期Anthesis | 0.94 | 71.72 | 5.49 | | 0.95 | 0.35 | 7.13 | | 0.93 | 0.09 | 3.46 | | 0.90 | 45.00 | 7.35 | | 乳熟期Milk ripe | 0.95 | 93.57 | 5.59 | | 0.96 | 0.30 | 6.65 | | 0.97 | 0.10 | 4.24 | | 0.96 | 27.70 | 5.93 |
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