Laser & Optoelectronics Progress, Volume. 55, Issue 1, 12803(2018)
Digital Surface Model Accuracy Improvement Based on Edge Line Automatic Extraction of Building Laser Point Cloud
Figures & Tables(6)
Fig. 1. Airborne laser scanning point cloud with missing due to blocking and its reconstructed DSM. (a) Original laser point cloud; (b) reconstructed TIN model; (c) reconstructed DSM
Fig. 2. Extraction of edge points and vertexes for top surface of building. (a) Rectangular top surface; (b) round top surface
Fig. 3. Laser scanning point cloud of simulative terrain and reconstructed DSM with point cloud before and after supplementation. (a) Original laser point cloud of simulative terrain; (b) reconstructed TIN model with original point cloud; (c) reconstructed DSM with original point cloud
Fig. 4. Elevations of points using different interpolation methods and reconstructed DSMs with point clouds before and after supplementation. (a) Interpolation elevations using cubic method; (b) interpolation elevations using linear method; (c) interpolation elevations using nearest method; (d) reconstructed DSM from original point cloud using cubic method; (e) reconstructed DSM from original point cloud using linear method; (f) reconstructed DSM from original point cloud using nearest method; (g) recon
Table 1. Precision of DSM at different interpolation methods
View tableTable 1. Precision of DSM at different interpolation methods
Point cloud Flight height/m Cubic Linear Nearest em /m ds /m erms /m em /m ds /m erms /m em /m ds /m erms /m 300 4.5745 16.6057 17.2243 4.6206 16.5837 17.2154 4.2588 20.5453 20.9820 Original point cloud 375 2.8362 13.2277 13.5284 2.8780 13.2162 13.5260 2.6700 16.4284 16.6439 450 1.7436 10.6227 10.7649 1.7754 10.6052 10.7528 1.6477 13.2047 13.3071 300 -0.7149 6.8991 6.9360 -0.1272 6.1806 6.1819 0.4211 8.9990 9.0089 Supplementary point cloud 375 -0.5450 5.8088 5.8343 -0.1846 5.1922 5.1954 0.1708 7.6287 7.6306 450 -0.6522 5.9879 6.0233 -0.3766 5.4603 5.4733 -0.3478 6.8959 6.9046
Table 2. Proportional reduction of error of em, ds and erms at different interpolation methods
View tableTable 2. Proportional reduction of error of em, ds and erms at different interpolation methods
Flight height/m PRE of cubic /% PRE of linear /% PRE of nearest /% em ds erms em ds erms em ds erms 300 84.37 58.45 59.73 97.25 62.73 64.09 90.11 56.20 57.71 375 80.78 56.09 56.87 93.59 60.71 61.59 93.60 53.56 54.15 450 62.59 43.63 44.05 78.79 48.51 49.10 78.89 47.78 48.11
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Miao Song, Wang Jianjun, Li Yunlong, Fan Yuanyuan. Digital Surface Model Accuracy Improvement Based on Edge Line Automatic Extraction of Building Laser Point Cloud[J]. Laser & Optoelectronics Progress, 2018, 55(1): 12803
Paper Information
Category: Remote Sensing and Sensors
Received: Jun. 11, 2017
Accepted: --
Published Online: Sep. 10, 2018
The Author Email: Wang Jianjun (wangjianjun@sdut.edu.cn)
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