基于无人机遥感图像的苎麻产量估测研究
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付虹雨, 崔国贤, 李绪孟, 佘玮, 崔丹丹, 赵亮, 苏小惠, 王继龙, 曹晓兰, 刘婕仪, 刘皖慧, 王昕惠
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Estimation of ramie yield based on UAV (Unmanned Aerial Vehicle) remote sensing images
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Hong-Yu FU, Guo-Xian CUI, Xu-Meng LI, Wei SHE, Dan-Dan CUI, Liang ZHAO, Xiao-Hui SU, Ji-Long WANG, Xiao-Lan CAO, Jie-Yi LIU, Wan-Hui LIU, Xin-Hui WANG
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表3 苎麻产量与解释因子的相关系数
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Table 3 Correlation coefficient between ramie yield and explanatory factors
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| 产量Yield | E | DSM-based H | WI | ExGR | ExR | ExG | GLA | r | g | b | g/r | g/b | r/b | | 产量Yield | 1 | 0.91 | 0.61 | 0.32 | -0.05 | -0.19 | -0.14 | -0.21 | -0.25 | -0.27 | 0.34 | 0.12 | -0.33 | -0.30 | | E | | 1 | 0.57 | 0.29 | 0.02 | -0.15 | -0.21 | -0.20 | -0.23 | -0.27 | 0.32 | 0.11 | -0.31 | -0.27 | | DSM-based H | | | 1 | 0.25 | 0.08 | -0.22 | -0.06 | 0.00 | -0.26 | -0.06 | 0.24 | 0.22 | -0.23 | -0.26 | | WI | | | | 1 | 0.56 | -0.84 | -0.49 | -0.17 | -0.79 | -0.28 | 0.77 | 0.64 | -0.71 | -0.80 | | ExGR | | | | | 1 | -0.64 | -0.52 | 0.05 | -0.44 | 0.27 | 0.22 | 0.54 | -0.13 | -0.32 | | ExR | | | | | | 1 | 0.09 | -0.24 | 0.81 | -0.23 | -0.54 | -0.88 | 0.40 | 0.66 | | ExG | | | | | | | 1 | 0.66 | 0.25 | 0.63 | -0.51 | 0.03 | 0.58 | 0.43 | | GLA | | | | | | | | 1 | 0.03 | 0.75 | -0.39 | 0.30 | 0.51 | 0.26 | | r | | | | | | | | | 1 | 0.14 | -0.87 | -0.90 | 0.77 | 0.95 | | g | | | | | | | | | | 1 | -0.60 | 0.30 | 0.74 | 0.43 | | b | | | | | | | | | | | 1 | 0.58 | -0.98 | -0.98 | | g/r | | | | | | | | | | | | 1 | -0.42 | -0.72 | | g/b | | | | | | | | | | | | | 1 | 0.93 | | r/b | | | | | | | | | | | | | | 1 |
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