基于网络图的地基激光雷达复杂树木点云枝叶分离方法
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林筱涵,李爱农,边金虎,张正建,南希
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A Method for Separating Leaf and Wood Components of Complex Tree Point Cloud Data based on Network Graph with Terrestrial Laser Scanning
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Xiaohan Lin,Ainong Li,Jinhu Bian,Zhengjian Zhang,Xi Nan
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表6 一类错误和二类错误比较 (%)
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Table 6 The comparison of Type1 and Type2 errors
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TreeID | 一类错误 | 二类错误 |
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LeWos模型 | Tlseparation模型 | 高斯混合模型 | 本文方法 | LeWos模型 | Tlseparation模型 | 高斯混合模型 | 本实验方法 |
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Tree1 | 12.07 | 24.14 | 2.24 | 5.80 | 20.76 | 45.42 | 35.23 | 19.24 | Tree2 | 36.36 | 43.13 | 32.80 | 22.49 | 0.22 | 13.82 | 13.19 | 0.21 | Tree3 | 41.58 | 37.23 | 33.55 | 16.23 | 0.17 | 23.57 | 6.57 | 4.35 | Tree4 | 32.35 | 12.07 | 33.21 | 5.60 | 0.20 | 20.76 | 17.26 | 0.91 | Tree5 | 50.32 | 31.56 | 36.71 | 3.42 | 0.26 | 7.72 | 6.27 | 3.39 | Tree6 | 76.60 | 56.79 | 82.50 | 23.71 | 0.18 | 2.99 | 0.01 | 1.23 | Tree7 | 42.25 | 58.71 | 41.38 | 34.95 | 10.35 | 31.01 | 10.24 | 9.23 | Tree8 | 30.36 | 49.40 | 41.11 | 3.36 | 0.05 | 21.05 | 3.32 | 11.61 | Tree9 | 19.75 | 36.03 | 30.73 | 8.02 | 1.58 | 25.84 | 14.27 | 1.40 | Tree10 | 39.98 | 52.56 | 30.43 | 5.95 | 1.75 | 35.38 | 3.44 | 19.57 | Tree11 | 13.39 | 14.17 | 33.43 | 6.19 | 2.06 | 29.54 | 31.01 | 1.92 | Tree12 | 12.25 | 27.11 | 31.36 | 0.79 | 2.69 | 37.34 | 36.57 | 3.00 | 平均 | 33.94 | 36.91 | 35.79 | 11.38 | 3.36 | 24.54 | 14.78 | 6.34 |
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