Laser & Optoelectronics Progress, Volume. 56, Issue 21, 212801(2019)

Construction and Application of Greedy Triangulation for Lidar Point-Cloud Data Based on Inverse-Distance-Weighted Interpolation

Songming Jiao, Xiaokai Wu, Xiaokun Zheng*, and Tianyu Ruan
Author Affiliations
  • Department of Automation, School of Control and Computer Engineering, North China Electric Power University, Baoding, Hebei 071003, China
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    Figures & Tables(15)
    Schematic of grid simplification
    Schematic of inverse-distance-weighted interpolation
    Result of uncontrolled interpolation area
    Result of block inverse-distance-weighted interpolation
    Photograph of actual coal stockpile
    Planning graph of air route
    Original point cloud of coal stockpile
    Results of point cloud of coal stockpile after large-scale noise filtering
    Result of MLS smoothing
    Result of adaptive grid simplification of point cloud
    Reconstructed greedy-triangulation surface
    Reconstructed greedy-triangulation surface after interpolation
    Micro-element volume calculation model
    Result of volume calculation
    • Table 1. Results of volume calculation

      View table

      Table 1. Results of volume calculation

      MeasurementNo.Volume /m3Averagevalue /m3StandarddeviationRepeaterror er /%
      1127.538
      2130.462
      3126.827127.78544.10383.21
      4128.946
      5125.154
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    Songming Jiao, Xiaokai Wu, Xiaokun Zheng, Tianyu Ruan. Construction and Application of Greedy Triangulation for Lidar Point-Cloud Data Based on Inverse-Distance-Weighted Interpolation[J]. Laser & Optoelectronics Progress, 2019, 56(21): 212801

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Apr. 12, 2019

    Accepted: May. 5, 2019

    Published Online: Nov. 2, 2019

    The Author Email: Xiaokun Zheng (56704037@qq.com)

    DOI:10.3788/LOP56.212801

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