Remote Sensing Technology and Application, Volume. 40, Issue 3, 582(2025)

A Fast Automatic Registration Method for Terrestrial LiDAR Point Cloud in Forested Area based on Normal Features

Cheng LI, Chongcheng CHEN, and Hongyu HUANG*
Author Affiliations
  • Key Laboratory of Spatial Mining and Information Sharing of Ministry of Education,Spatial Information Research Centre of Fujian,Fuzhou University,Fuzhou350108,China
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    Figures & Tables(9)
    The three plots of the Taining dataset
    Frameworkof automatic point cloud registration
    Feature Point Correspondence Diagram
    Schematic diagram of influence of sampling interval on point cloud feature vector similarity
    Dataset registration results
    • Table 1. Sample plot statistics

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      Table 1. Sample plot statistics

      样地号样地大小/m²树木排列林下植被复杂性类别
      Plot180×60不规则高灌木复杂
      Plot2100×90不规则低矮灌木中等
      Plot3140×60不规则低矮灌木中等
      Plot465×50不规则裸露地面简单
      Plot590×50不规则野草简单
      Plot665×55规则裸露地面简单
      Plot780×40规则裸露地面简单
    • Table 2. Optimal sampling intervals for different sample plots

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      Table 2. Optimal sampling intervals for different sample plots

      样地号最佳采样间隔/cm
      Plot130
      Plot235
      Plot340
      Plot440
      Plot540
      Plot645
      Plot750
    • Table 3. Rotation and translation errors in point cloud registration

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      Table 3. Rotation and translation errors in point cloud registration

      样地号eTxy/cmeTz/cmeR/cm
      Plot15.331.782.7
      Plot23.300.931.7
      Plot32.720.861.5
      Plot41.860.591.2
      Plot52.701.402.1
      Plot62.430.210.2
      Plot73.580.280.3
      平均值3.130.861.39
    • Table 4. The operation time and point-wise error of our proposed method on seven sample plots

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      Table 4. The operation time and point-wise error of our proposed method on seven sample plots

      样地号RT /sep /cm
      平均值5.26.5
      Plot18.910.8
      Plot26.47.6
      Plot35.78.2
      Plot43.45.7
      Plot54.16.5
      Plot63.92.5
      Plot74.34.1
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    Cheng LI, Chongcheng CHEN, Hongyu HUANG. A Fast Automatic Registration Method for Terrestrial LiDAR Point Cloud in Forested Area based on Normal Features[J]. Remote Sensing Technology and Application, 2025, 40(3): 582

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    Paper Information

    Category:

    Received: Oct. 24, 2023

    Accepted: --

    Published Online: Sep. 28, 2025

    The Author Email: Hongyu HUANG (hhy@ftu.edu.cn)

    DOI:10.11873/j.issn.1004-0323.2025.3.0582

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