• Infrared and Laser Engineering
  • Vol. 50, Issue 9, 20200369 (2021)
Bingtao Chang, Chuanfa Chen*, Jiaojiao Guo, and Huiming Wu
Author Affiliations
  • College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China
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    DOI: 10.3788/IRLA20200369 Cite this Article
    Bingtao Chang, Chuanfa Chen, Jiaojiao Guo, Huiming Wu. Interpolation-based filtering with segmentation for airborne LiDAR point clouds[J]. Infrared and Laser Engineering, 2021, 50(9): 20200369 Copy Citation Text show less
    Flow chart of the proposed method
    Fig. 1. Flow chart of the proposed method
    Classical region growing method
    Fig. 2. Classical region growing method
    Improved region growing method
    Fig. 3. Improved region growing method
    Spatial position error caused by terrain slope
    Fig. 4. Spatial position error caused by terrain slope
    Total errors of the proposed method against and the 15 filtering algorithms
    Fig. 5. Total errors of the proposed method against and the 15 filtering algorithms
    Filtering results of the proposed method on samp11, samp21, samp51 and samp52
    Fig. 6. Filtering results of the proposed method on samp11, samp21, samp51 and samp52
    Digital surface models of the three samples
    Fig. 7. Digital surface models of the three samples
    (a) Reference data and interpolated DEMs of (b) proposed method, (c) MHC, (d) PMF, (e) PTD and (f) CSF on s2
    Fig. 8. (a) Reference data and interpolated DEMs of (b) proposed method, (c) MHC, (d) PMF, (e) PTD and (f) CSF on s2
    SampleOptimized parametersAccuracy measures
    ws/m θth/rad rth/m h/m dth/m T.IT.IIT.E.κ
    11160.10.330.79.02%10.69%9.73%80.15%
    12160.10.2520.32.01%3.08%2.53%94.93%
    21160.10.120.20.33%3.13%0.95%97.23%
    22280.10.120.41.47%8.16%3.55%91.61%
    23200.10.230.353.05%5.74%4.32%91.33%
    24250.10.120.353.24%8.65%4.73%88.38%
    31230.10.240.10.44%1.20%0.79%98.40%
    41260.10.230.42.32%2.58%2.45%95.11%
    42300.10.0530.350.80%0.77%0.78%98.13%
    51150.10.140.31.11%4.11%1.73%94.92%
    52190.10.160.411.11%17.10%2.79%84.63%
    5360.250.430.331.20%37.87%2.68%63.79%
    54160.10.2520.41.31%3.36%2.41%95.17%
    6160.30.220.70.77%7.05%0.98%86.19%
    71210.10.0530.60.73%6.33%1.36%93.20%
    Average1.93%7.99%2.79%90.21%
    Median1.20%5.74%2.45%93.20%
    STD2.15%9.27%2.28%9.00%
    Table 1. Optimized parameters and filtering accuracy of the proposed method on the 15 samples
    MethodCSFPTDPMFMHCProposed
    Accuracy measureTotalKappaTotalKappaTotalKappaTotalKappaTotalKappa
    s110.38%67.67%7.44%75.49%7.43%74.41%7.44%76.29%3.91%92.15%
    s214.21%65.09%7.30%82.87%8.03%81.04%5.06%88.20%2.95%93.19%
    s315.95%68.25%5.40%89.20%3.85%92.31%4.19%91.61%3.19%93.61%
    Average13.51%69.21%6.71%83.07%6.44%85.79%5.56%84.77%3.55%92.62%
    Table 2. Filtering accuracy of the proposed method against the 4 filtering algorithms
    Bingtao Chang, Chuanfa Chen, Jiaojiao Guo, Huiming Wu. Interpolation-based filtering with segmentation for airborne LiDAR point clouds[J]. Infrared and Laser Engineering, 2021, 50(9): 20200369
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