Chinese Journal of Lasers, Volume. 45, Issue 7, 0710004(2018)

Single Part of Building Extraction from Dense Matching Point Cloud

Li Yan and Feng Wei*
Author Affiliations
  • School of Geodesy and Geomatics, Wuhan University, Wuhan, Hubei 430079, China
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    Figures & Tables(10)
    Flow chart of point cloud segmentation
    Filtered original point cloud using height rendering
    Horizontal point cloud clusters after space clustering
    Classic non-roof point cloud. (a) Original point cloud using height rendering; (b) point cloud clusters containing parapet wall and overlapping clusters; (c) point cloud clusters after removing parapet wall and overlapping clusters
    Classic non-roof point cloud.(a) Original point cloud using height rendering; (b) point cloud clusters containing structure supported by pillar; (c) point cloud clusters after removing structure supported by pillar
    Original point cloud in construction area. (a) Region A; (b) region B
    (a) Horizontal point cloud clusters using clustering; (b) result of removing error point cloud clusters of building when D is 0.5 m and hv is 0.25 m; (c) result of removing error point cloud clusters of building when D is 0.25 m and hv is 0.25 m; (d) result of removing error point cloud clusters of building when D is 0.25 m and hv is 0.1 m; (e) result of removing error point cloud clusters of building when D is 0.25 m and hv is 0.5 m; (f) result of filtering other non-roof point cloud clusters
    (a) Extraction result of single part of building in area A; (b) extraction result of building in area A; (c) extraction result of single part of building in area B; (d) extraction result of building in area B
    • Table 1. Extraction result of single part of building

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      Table 1. Extraction result of single part of building

      ItemArea AArea B
      Actual number9992
      Miss extraction number68
      Positive extraction number9384
      Negative extraction number119
      Sum of extraction10493
    • Table 2. Precision evaluation of extraction for single part of building

      View table

      Table 2. Precision evaluation of extraction for single part of building

      AreaRecall rate /%Precision /%
      A93.989.4
      B91.390.3
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    Li Yan, Feng Wei. Single Part of Building Extraction from Dense Matching Point Cloud[J]. Chinese Journal of Lasers, 2018, 45(7): 0710004

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    Paper Information

    Category: remote sensing and sensor

    Received: Jan. 22, 2018

    Accepted: --

    Published Online: Sep. 11, 2018

    The Author Email: Wei Feng (wfengtt@163.com)

    DOI:10.3788/CJL201845.0710004

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