• Laser & Optoelectronics Progress
  • Vol. 58, Issue 24, 2428009 (2021)
Lijie Shan* and Jianping Yue
Author Affiliations
  • School of Earth Science and Engineering, Hohai University, Nanjing, Jiangsu 211100, China
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    DOI: 10.3788/LOP202158.2428009 Cite this Article Set citation alerts
    Lijie Shan, Jianping Yue. Automatic Extraction Algorithm of High Voltage Pylon Based on LiDAR Point Cloud[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2428009 Copy Citation Text show less
    Flow chart for automatic extraction of pylons
    Fig. 1. Flow chart for automatic extraction of pylons
    Elevation distribution characteristics of different surface features
    Fig. 2. Elevation distribution characteristics of different surface features
    Original point cloud data. (a) Data 1; (b) data 2
    Fig. 3. Original point cloud data. (a) Data 1; (b) data 2
    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
    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
    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 1. Point cloud extraction results of high voltage pylons
    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
    Table 2. Plane coordinates and error calculation results of high voltage pylons obtained based on data 1
    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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