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Laser & Optoelectronics Progress, Volume. 58, Issue 24, 2428009(2021)

Automatic Extraction Algorithm of High Voltage Pylon Based on LiDAR Point Cloud

Lijie Shan* and Jianping Yue
Author Affiliations
  • School of Earth Science and Engineering, Hohai University, Nanjing, Jiangsu 211100, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (7)
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    References (14)
    Cited By (2)
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    Figures & Tables(7)
    Flow chart for automatic extraction of pylons

    Fig. 1. Flow chart for automatic extraction of pylons

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    Elevation distribution characteristics of different surface features

    Fig. 2. Elevation distribution characteristics of different surface features

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    Original point cloud data. (a) Data 1; (b) data 2

    Fig. 3. Original point cloud data. (a) Data 1; (b) data 2

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    Extraction results of data 1. (a) Ground points and non-ground points after filtering; (b) ROI extraction result; (c) fine extraction result

    Fig. 4. Extraction results of data 1. (a) Ground points and non-ground points after filtering; (b) ROI extraction result; (c) fine extraction result

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    Extraction results of selected data from data 2. (a) Ground points and non-ground points after filtering; (b) ROI extraction result; (c) fine extraction result

    Fig. 5. Extraction results of selected data from data 2. (a) Ground points and non-ground points after filtering; (b) ROI extraction result; (c) fine extraction result

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    • Table 1. Point cloud extraction results of high voltage pylons

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      Table 1. Point cloud extraction results of high voltage pylons

      Test dataPylonNumber of manually extracted pointsNumber of points extracted by our algorithmExtraction rate /%
      Data 1#1118671229596.5
      #2184491895897.2
      #3620866570294.5
      #4157311629596.5
      #5296273128294.7
      Data 2 ( partial)#6134171626582.5
      #7123311480483.3
      #8145261769182.1

    • Table 2. Plane coordinates and error calculation results of high voltage pylons obtained based on data 1

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      Table 2. Plane coordinates and error calculation results of high voltage pylons obtained based on data 1

      PylonMethodx value /my value /mPlane error /m
      #1Manual method266255.783374211.02--
      Proposed algorithm266254.873374211.060.47
      Method in Ref. [3]266254.933374210.740.89
      Method in Ref. [5]266255.333374210.910.46
      #2Manual method266230.843374506.69--
      Proposed algorithm266230.423374506.710.42
      Method in Ref. [3]266230.863374507.630.94
      Method in Ref. [5]266230.313374506.490.57
      #3Manual method266208.073374775.58--
      Proposed algorithm266208.413374775.970.52
      Method in Ref. [3]266208.933374775.160.96
      Method in Ref. [5]266208.543374775.230.59
      #4Manual method266293.643374403.47--
      Proposed algorithm266293.883374403.310.29
      Method in Ref. [3]266293.413374402.980.54
      Method in Ref. [5]266293.733374403.320.17
      #5Manual method266252.063374872.84--
      Proposed algorithm266252.153374872.520.33
      Method in Ref. [3]266252.513374872.570.52
      Method in Ref. [5]266252.193374872.430.43
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    Lijie Shan, Jianping Yue. Automatic Extraction Algorithm of High Voltage Pylon Based on LiDAR Point Cloud[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2428009

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jun. 2, 2021

    Accepted: Jul. 20, 2021

    Published Online: Dec. 3, 2021

    The Author Email: Lijie Shan (3314747381@qq.com)

    DOI:10.3788/LOP202158.2428009

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology