Journals Articles Conferences News About CLP
Submit a paper Email Alert
Search
Search
Articles
Journals
News
Advanced Search
Top Searches
2D MaterialsTransformation opticsQuantum PhotonicsSmall lasersSemiconductor UV PhotonicsSupersymmetric microring laser arrays

Laser & Optoelectronics Progress, Volume. 55, Issue 6, 062803(2018)

Registration Method for Airborne and Terrestrial Light Detection and Ranging Point Cloud Based on Laser Intensity Classification

Wang Guo* and Xiaojun Cheng
Author Affiliations
  • College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
    • show less
    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
    Equations (0)
    References (17)
    Cited By (5)
    Tools
    Paper Information
    Topics
    Figures & Tables(10)
    Corrected intensity images of (a) airborne and (b) terrestrial LiDAR

    Fig. 1. Corrected intensity images of (a) airborne and (b) terrestrial LiDAR

    Download full size
    Intensity classification images of (a) airborne and (b) terrestrial LiDAR

    Fig. 2. Intensity classification images of (a) airborne and (b) terrestrial LiDAR

    Download full size
    Extracted plane features of (a) airborne and (b) terrestrial LiDAR

    Fig. 3. Extracted plane features of (a) airborne and (b) terrestrial LiDAR

    Download full size
    Corresponding plane features of (a) airborne and (b) terrestrial LiDAR

    Fig. 4. Corresponding plane features of (a) airborne and (b) terrestrial LiDAR

    Download full size
    Registration results. (a) Front view; (b) top view; (c) side view

    Fig. 5. Registration results. (a) Front view; (b) top view; (c) side view

    Download full size
    Registering error distribution

    Fig. 6. Registering error distribution

    Download full size

    • Table 1. Classification of features

      View table

      Table 1. Classification of features

      TypeRoofWallVegetationRoadGround
      ColorRedCyanGreenYellowBlue

    • Table 2. Coordinate transformation parameter values

      View table

      Table 2. Coordinate transformation parameter values

      R11R12R13R21R22R23R31R32R33Δx /mΔy /mΔz /m
      -0.317180.94783-0.03153-0.94797-0.31783-0.01809-0.027170.024150.9993423989.9213738861.257139.634

    • Table 3. Registering accuracy

      View table

      Table 3. Registering accuracy

      ErrortypeMaximum /mMinimum /mMean /mStandarddeviation /m
      Δx0.1890.0010.0660.0029
      Δy0.1920.0010.0740.0032
      Δz0.1930.0010.0650.0029
      Δd0.1990.0090.1380.0052

    • Table 4. Comparison of measurement between airborne and terrestrial LiDAR

      View table

      Table 4. Comparison of measurement between airborne and terrestrial LiDAR

      ObjectiveAirborne distance /mTerrestrial distance /mDeviation /mMean /m
      Horizontal line 1114.635115.221-0.586-0.5442
      Horizontal line 2126.464127.037-0.573
      Horizontal line 334.98835.54-0.552
      Horizontal line 4114.42114.918-0.498
      Horizontal line 544.86345.375-0.512
      Vertical line 127.73828.242-0.504-0.476
      Vertical line 227.27527.753-0.478
      Vertical line 327.76628.208-0.442
      Vertical line 423.09823.614-0.516
      Vertical line 517.61218.052-0.44
    Tools

    Get Citation

    Copy Citation Text

    Wang Guo, Xiaojun Cheng. Registration Method for Airborne and Terrestrial Light Detection and Ranging Point Cloud Based on Laser Intensity Classification[J]. Laser & Optoelectronics Progress, 2018, 55(6): 062803

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Set citation alerts for article
    Save article for my favorites
    Paper Information

    Category: Remote Sensing and Sensors

    Received: Nov. 23, 2017

    Accepted: --

    Published Online: Sep. 11, 2018

    The Author Email: Wang Guo (1983guowang@tongji.edu.cn)

    DOI:10.3788/LOP55.062803

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology