基于样本加权PointNet++的输电通道点云分类研究
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陈正宇,彭淑雯,朱号东,张春涛,习晓环
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LiDAR Point Cloud Classification of Transmission Corridor based on Sample Weighted-PointNet++
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Zhengyu Chen,Shuwen Peng,Haodong Zhu,Chuntao Zhang,Xiaohuan Xi
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表2 样本加权PointNet++分类性能评价
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Table 2 The performance of the PointNet++
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| 地面 | 植被 | 杆塔 | 电力线 | 建筑 | pre/% |
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| 测试集1 | 测试集2 | 测试集1 | 测试集2 | 测试集1 | 测试集2 | 测试集1 | 测试集2 | 测试集1 | 测试集2 | 测试集1 | 测试集2 |
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| 地面 | 508 463 | 1 975 150 | 148 603 | 584 492 | 177 | 1 | 0 | 0 | 304 | 974 | 77.33 | 77.14 | | 植被 | 212 595 | 354 328 | 2 663 917 | 2 954 056 | 241 | 338 | 0 | 0 | 68 | 374 | 92.60 | 89.27 | | 杆塔 | 0 | 990 | 485 | 500 | 5 583 | 10 306 | 486 | 486 | 0 | 0 | 85.18 | 83.91 | | 电力线 | 0 | 64 | 0 | 1 | 295 | 274 | 10 928 | 28 067 | 0 | 0 | 97.37 | 98.81 | | 建筑 | 5 333 | 2 388 | 1 943 | 3 605 | 0 | 0 | 0 | 0 | 38 247 | 11 341 | 84.02 | 65.43 | | rec/% | 70.0 | 85.66 | 94.63 | 83.39 | 88.68 | 94.39 | 95.74 | 98.30 | 99.04 | 89.38 | - | - | | F1/% | 73.48 | 80.72 | 93.61 | 86.23 | 86.89 | 88.84 | 96.55 | 98.55 | 90.91 | 75.55 | - | - |
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