Laser & Optoelectronics Progress, Volume. 57, Issue 20, 202802(2020)

Multi-Resolution 3D Reconstruction of Karst Caves Based on the Feature Line Extraction of 3D Laser Point Cloud

Hongqiang Bai1,2, Yonghua Xia1,2、*, Minglong Yang1,2、*, Zhaoyong Li3, and De Huang1,2
Author Affiliations
  • 1Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China
  • 2Surveying & Mapping Technology and Application Research Center on Plateau Mountains of Yunnan Higher Education, Kunming, Yunnan 650093, China;
  • 3Kunming Urban Underground Space Planning and Management Office, Kunming, Yunnan 650011, China
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    Figures & Tables(10)
    Schematic diagram of cave accuracy classification. (a) Schematic diagram of karst cave precision division; (b) site photos of facade and ground karst cave; (c) top hanging stalactite site photo; (d) site photo of stalactite raised on the ground
    Selected model. (a) Original point cloud at the entrance of the cave (model 1); (b) point cloud in the area with rich texture (model 2); (c) point cloud in the area with rich stalactite (model 3)
    Feature line extraction for model 1. (a) Boundary feature value extraction results; (b) point cloud classification results; (c) feature line drawing results
    Feature line extraction for model 1. (a) Boundary feature value extraction results; (b) point cloud classification results; (c) feature line drawing results
    feature line extraction for model 3. (a) Boundary feature value extraction results; (b) point cloud classification results; (c) feature line drawing results
    Model 1 after point cloud classification. (a) Triangulation result after point cloud classification; (b) triangulation result without point cloud classification
    Model 2 after point cloud classification. (a) Triangulation result after point cloud classification; (b) triangulation result without point cloud classification
    Model 3 point after cloud classification. (a) Triangulation result after point cloud classification; (b) triangulation result without point cloud classification
    • Table 1. Detailed description of cave accuracy classification

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      Table 1. Detailed description of cave accuracy classification

      Accuracy gradeDetailed descriptionAbbreviationGrid sampling interval /m
      DInner bottom of caveGround in cave1.00
      CNo special part inthe cave facadeInner wall of karst cave0.50
      BNo special part on the topof the tunnelTop of karst cave0.50
      ASuspended or raised singularpart on the top of the tunnelStalactite and exotic lava0.25
    • Table 2. Comparison of multi-resolution and overall-resolution 3D reconstruction performance

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      Table 2. Comparison of multi-resolution and overall-resolution 3D reconstruction performance

      ModelNumber of triangulargrids with differentresolutionsTime consumedby differentresolutions /sNumber ofD-class resolutiontriangular gridsTime consumedby D-classresolution /sNumber ofA-class resolutiontriangular gridsTime consumedby A-classresolution /s
      11487382577148787569329765871237
      2388255151387146197785426526
      31083624010752252223658154
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    Hongqiang Bai, Yonghua Xia, Minglong Yang, Zhaoyong Li, De Huang. Multi-Resolution 3D Reconstruction of Karst Caves Based on the Feature Line Extraction of 3D Laser Point Cloud[J]. Laser & Optoelectronics Progress, 2020, 57(20): 202802

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jan. 3, 2020

    Accepted: Feb. 10, 2020

    Published Online: Oct. 14, 2020

    The Author Email: Yonghua Xia (617073761@qq.com), Minglong Yang (617073761@qq.com)

    DOI:10.3788/LOP57.202802

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