Laser & Optoelectronics Progress, Volume. 57, Issue 6, 062801(2020)

Building Orthogonal Boundary Extraction for Airborne LiDAR Based on Directional Prediction Regularization

Yadong Guo1, Xiankun Wang1、*, Dianpeng Su1,2, Chao Qi1, and Fanlin Yang1,2
Author Affiliations
  • 1College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China
  • 2Key Laboratory of Surveying and Mapping Technology on Island and Reef, State Bureau of Surveying and Mapping, Qingdao, Shandong 266590, China
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    Figures & Tables(7)
    Flow diagram of the proposed algorithm
    Limitation of improved Douglas_Peucker. (a) Limitation because of points density; (b) limitation because of parallel
    Noise suppression diagram
    Boundary extraction result of traditional algorithm
    Extraction effect of building boundary
    Histogram of error distribution about buildings' corner points
    • Table 1. Comparison of performance indexes of different boundary regularization algorithms

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      Table 1. Comparison of performance indexes of different boundary regularization algorithms

      BuildingNo.AlgorithmMADRMSEREAPCR
      Cluster and adjustment1.4280.9030.1650.891
      Directional prediction0.9610.5590.0501.000
      Cluster and adjustment0.6820.4440.0720.922
      Directional prediction0.4480.2950.0191.000
      Cluster and adjustment0.6820.4200.0850.931
      Directional prediction0.5090.3620.0581.000
      Cluster and adjustment0.5480.4460.0740.875
      Directional prediction0.1580.1280.0061.000
      Cluster and adjustment0.8170.4930.0970.915
      Directional prediction0.3900.2870.0091.000
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    Yadong Guo, Xiankun Wang, Dianpeng Su, Chao Qi, Fanlin Yang. Building Orthogonal Boundary Extraction for Airborne LiDAR Based on Directional Prediction Regularization[J]. Laser & Optoelectronics Progress, 2020, 57(6): 062801

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jul. 3, 2019

    Accepted: Aug. 28, 2019

    Published Online: Mar. 6, 2020

    The Author Email: Wang Xiankun (874934908@qq.com)

    DOI:10.3788/LOP57.062801

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