Laser & Optoelectronics Progress, Volume. 60, Issue 12, 1228009(2023)

Detection Method of Street Tree Trunks from Point Clouds Based on Multilayer Aggregation

Jingzhong Xu*, Xiaoran Jia, and Zhaowen Cheng
Author Affiliations
  • School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, Hubei, China
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    Figures & Tables(8)
    Flow chart of trunk detection
    Schematic diagrams of multilayer grouping method. (a) Multilayer clustering; (b) cluster grouping; (c) cluster grouping result
    Rendering effect of dataset I point cloud elevation
    Tree trunk extraction results of dataset I. (a) Result of ground point elimination; (b) result of tree points extraction; (c) result of tree trunk detection
    Rendering effect of dataset Ⅱ point cloud elevation
    Tree trunk extraction results of dataset II. (a) Result of ground point elimination; (b) result of tree trunk detection
    • Table 1. Schematic diagram of typical feature point cluster projection

      View table

      Table 1. Schematic diagram of typical feature point cluster projection

      FeaturePoint cloudSchematic diagram of upper part projectionSchematic diagram of lower part projection
      Tree
      Building
      Street lamp
      Vehicle
    • Table 2. Error statistics of street tree trunk detection results

      View table

      Table 2. Error statistics of street tree trunk detection results

      MethodP /%R /%F /%
      TotalTotalTotal
      Proposed method100.090.293.1100.092.094.4100.091.193.7
      Method of literature[1187.086.086.395.294.194.490.089.990.2
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    Jingzhong Xu, Xiaoran Jia, Zhaowen Cheng. Detection Method of Street Tree Trunks from Point Clouds Based on Multilayer Aggregation[J]. Laser & Optoelectronics Progress, 2023, 60(12): 1228009

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: May. 13, 2022

    Accepted: Jul. 5, 2022

    Published Online: Jun. 5, 2023

    The Author Email: Jingzhong Xu (jz_xu@whu.edu.cn)

    DOI:10.3788/LOP221589

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