Infrared and Laser Engineering, Volume. 49, Issue 8, 20190439(2020)
Airborne LiDAR point cloud filtering using saliency division
Figures & Tables(11)
Fig. 4. Layered map of point cloud elevation(a) and gray rendering map of ground saliency(b)
Fig. 6. Ground saliency distribution of center sunken buildings area
Fig. 7. Comparison of filtering result of site 1 and 9. (a) Filtering result of site 1; (b) original point clouds; (c) filtering result of site 9; (d) original point clouds
Table 1.
Landform in each subarea
各子测区地形
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Landform in each subarea
各子测区地形
Area Terrain properties Topographic relief Objects 1 Smooth Buildings, vegetation, waterbody 2 Smooth Complicated buildings, vegetation 3 Smooth Complicated buildings, viaduct 4 Smooth Complicated buildings, vegetation 5 Large Buildings, waterbody, terrain fault 6 Large Vegetation, buildings, viaduct 7 Smooth Buildings and vegetation 8 Large Buildings, power line, viaduct 9 Large Slope, vegetation, steep, viaduct
Table 2.
Assessment criteria of crosstab method
交叉表法评价指标
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Assessment criteria of crosstab method
交叉表法评价指标
Data type Filtering results Sum Ground Non-ground Ground a b e =a +b Non-ground c d f =c +d Sum g =a +c h =b +d n =e +f
Table 3.
Error rate in different terrains using different threshold γ(%)
在不同区域使用不同γ阈值的错误率(%)
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Error rate in different terrains using different threshold γ(%)
在不同区域使用不同γ阈值的错误率(%)
γ 1γ 2Site1 Site2 E 1E 2E tE 1E 2E t0.375 0.5 4.0 4.6 4.3 4.7 7.4 5.4 0.375 0.625 4.0 4.7 4.4 4.8 7.4 5.5 0.375 0.75 4.0 4.7 4.4 5.0 7.3 5.7 0.375 0.875 4.0 4.7 4.4 5.3 7.3 5.8 0.5 0.625 4.0 3.6 3.8 5.2 7.1 5.6 0.5 0.75 4.0 3.6 3.8 5.3 7.0 5.8 0.5 0.875 4.0 3.6 3.8 5.5 7.0 5.9 0.625 0.75 4.0 3.3 3.6 6.3 6.3 6.3 0.625 0.875 4.0 3.3 3.6 6.5 6.3 6.4 0.75 0.875 4.0 3.2 3.6 8.7 5.2 7.8
Table 4.
Comparison and analysis of filtering accuracy
滤波精度对比分析
View tableView in ArticleTable 4.
Comparison and analysis of filtering accuracy
滤波精度对比分析
Area PM PTD CSF Proposed E 1E 2E tK E 1E 2E tK E 1E 2E tK E 1E 2E tK 1 4.29 3.62 3.93 92.09 3.45 5.49 4.54 90.89 3.99 4.02 4.00 90.63 4.00 3.15 3.55 92.87 2 5.65 7.57 6.72 86.41 3.17 8.43 6.11 87.68 6.06 6.46 6.29 85.54 3.76 7.00 5.57 88.75 3 4.50 3.90 4.19 91.60 2.01 4.27 3.19 93.60 4.64 3.86 4.23 90.97 3.61 3.12 3.36 93.27 4 6.77 6.01 6.38 87.23 3.34 5.58 4.50 90.99 4.67 6.81 5.78 86.32 5.27 5.11 5.19 89.61 5 3.41 4.61 4.19 90.90 3.80 4.47 4.23 90.78 7.38 3.89 5.11 88.76 3.31 3.96 3.73 91.88 6 6.58 3.99 4.88 89.22 6.22 3.25 4.27 90.53 2.92 5.25 4.45 88.60 3.30 3.24 3.26 92.82 7 11.58 9.35 10.67 78.17 3.22 9.09 5.62 88.29 3.62 11.53 6.86 83.62 4.98 10.51 7.24 84.93 8 9.06 3.16 6.05 87.89 2.85 4.35 3.61 92.76 2.29 6.02 4.20 90.03 3.11 3.30 3.21 93.58 9 6.81 3.34 4.71 90.12 3.32 5.05 4.37 90.93 4.93 12.89 9.74 79.37 2.53 5.70 4.45 90.80
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Fajie Feng, Yazhou Ding, Junping Li, Xingbei Huang, Xinyi Liu. Airborne LiDAR point cloud filtering using saliency division[J]. Infrared and Laser Engineering, 2020, 49(8): 20190439
Paper Information
Category: 激光器与激光光学
Received: Dec. 5, 2019
Accepted: --
Published Online: Dec. 31, 2020
The Author Email: Liu Xinyi (liuxy0319@whu.edu.cn)
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