Laser & Optoelectronics Progress, Volume. 56, Issue 6, 062802(2019)

Airborne LiDAR Point Cloud Filtering Algorithm Based on Dynamic Threshold

Zhenyang Hui1,2, Tieding Lu2、*, Youjian Hu3, Xianyu Yu4, and Yuanping Xia2,5
Author Affiliations
  • 1 Key Laboratory for Digital Land and Resources of Jiangxi Province, East China University of Technology, Nanchang, Jiangxi 330013, China
  • 2 Faculty of Geomatics, East China University of Technology, Nanchang, Jiangxi 330013, China
  • 3 Faculty of Information Engineering, China University of Geosciences, Wuhan, Hubei 430074, China
  • 4 School of Civil Engineering, Architecture and Environment, Hubei University of Technology, Wuhan, Hubei 430068, China
  • 5 Key Laboratory of Watershed Ecology and Geographical Environment Monitoring, Nanchang, Jiangxi 330013, China
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    Figures & Tables(10)
    Flow chart of proposed algorithm
    Flow chart of second filtering algorithm
    Three-dimensional image of original point cloud
    Ground point cloud after first filtering
    Ground point cloud after second filtering
    Three-dimensional surfaces of point cloud. (a) Before filtering; (b) after filtering
    Qualitative analysis of filtering results. (a) Digital surface model of original point cloud; (b) digital elevation model of true groud points; (c) digital elevation model after filtering by proposed algorithm; (d) error distribution of point cloud
    • Table 1. Accuracy assessment of filtering%

      View table

      Table 1. Accuracy assessment of filtering%

      Error typeTypeⅠerrorTypeⅡerrorTotal error
      First filtering32.916.2921.56
      Second filtering15.1512.8614.23
    • Table 2. Accuracy comparison among filtering algorithms%

      View table

      Table 2. Accuracy comparison among filtering algorithms%

      Filtering algorithmElmqvistSohnAxelssonPfeiferBrocelliRoggeroWackSitholeProposed method
      Type Ⅰ error33.6320.4915.9628.2662.0033.1639.1237.6915.25
      Type Ⅱ error4.3812.173.652.412.533.883.383.4912.86
      Total error22.4020.4910.7617.3536.9620.8024.0223.2514.23
    • Table 3. Error comparison of filtering results%

      View table

      Table 3. Error comparison of filtering results%

      SampleTerraScanProposed method
      TypeⅠerrorTypeⅡerrorTotal errorTypeⅠerrorTypeⅡerrorTotal error
      1221.491.1211.557.577.217.39
      2114.301.9511.568.136.157.70
      2214.512.5610.782.2317.026.80
      2312.922.548.014.5517.3310.60
      2416.383.9812.977.2919.7810.68
      318.368.974.857.0714.6110.53
      4125.100.7413.1514.7516.0815.42
      428.001.392.559.374.786.12
      510.410.291.130.4918.924.48
      524.724.525.384.3321.916.22
      533.6211.014.027.0018.029.44
      542.4913.682.304.4310.997.91
      611.604.811.713.417.214.54
      711.693.561.903.9110.267.07
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    Zhenyang Hui, Tieding Lu, Youjian Hu, Xianyu Yu, Yuanping Xia. Airborne LiDAR Point Cloud Filtering Algorithm Based on Dynamic Threshold[J]. Laser & Optoelectronics Progress, 2019, 56(6): 062802

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Aug. 3, 2018

    Accepted: Oct. 10, 2018

    Published Online: Jul. 30, 2019

    The Author Email: Lu Tieding (tieding_lu@163.com)

    DOI:10.3788/LOP56.062802

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