• Laser & Optoelectronics Progress
  • Vol. 55, Issue 1, 12803 (2018)
Miao Song1, Wang Jianjun1、*, Li Yunlong1, and Fan Yuanyuan2
Author Affiliations
  • 1School of Mechanical Engineering, Shandong University of Technology, Zibo, Shandong 255049, China
  • 2Department of Transportation Engineering, New Jersey Institute of Technology, Newark, New Jersey 0 7102, USA
  • show less
    DOI: 10.3788/LOP55.012803 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    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. 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
    Extraction of edge points and vertexes for top surface of building. (a) Rectangular top surface; (b) round top surface
    Fig. 2. Extraction of edge points and vertexes for top surface of building. (a) Rectangular top surface; (b) round top surface
    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. 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
    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
    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
    Point cloudFlightheight/mCubicLinearNearest
    em /mds /merms /mem /mds /merms /mem /mds /merms /m
    3004.574516.605717.22434.620616.583717.21544.258820.545320.9820
    Original point cloud3752.836213.227713.52842.878013.216213.52602.670016.428416.6439
    4501.743610.622710.76491.775410.605210.75281.647713.204713.3071
    300-0.71496.89916.9360-0.12726.18066.18190.42118.99909.0089
    Supplementarypoint cloud375-0.54505.80885.8343-0.18465.19225.19540.17087.62877.6306
    450-0.65225.98796.0233-0.37665.46035.4733-0.34786.89596.9046
    Table 1. Precision of DSM at different interpolation methods
    Flight height/mPRE of cubic /%PRE of linear /%PRE of nearest /%
    emdsermsemdsermsemdserms
    30084.3758.4559.7397.2562.7364.0990.1156.2057.71
    37580.7856.0956.8793.5960.7161.5993.6053.5654.15
    45062.5943.6344.0578.7948.5149.1078.8947.7848.11
    Table 2. Proportional reduction of error of em, ds and erms at different interpolation methods
    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
    Download Citation