Chinese Journal of Quantum Electronics, Volume. 41, Issue 4, 659(2024)

Research of multi‑view wood‑leaf 3D reconstruction based on hyperspectral lidar

CAO Zheng1,*... SHAO Hui1,2, SUN Long1,2, HU Yuxia1,2, CHEN Jie1,2, XU Heng1,2, and CHEN Chong12 |Show fewer author(s)
Author Affiliations
  • 1School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601, China
  • 2Anhui International Joint Research Center for Ancient Architecture Intellisencing and Multi-Dimensional Modeling,Hefei 230601, China
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    Figures & Tables(14)
    Schematic setup of HSL
    Experimental sample-bonsai tree (a) and rotating platform (b)
    Different view of bonsai tree. (a) View 1 of 15°; (b) View 2 of 15°; (c) View 1 of 30°; (d) View 2 of 30°
    Initial condition of different view. (a) View 1 of 15° ; (b) View 2 of 15°; (c) View 1 of 30°; (d) View 2 of 30°
    Schematic diagram of the proposed method
    Construction strategy of FPFH
    Construction of characteristic three elements
    Error curve of RMSECV
    Registration results of vision angle 15°. (a) View 1 of rough registration; (b) View 2 of rough registration;(c) View 1 of accurate registration; (d) View 2 of accurate registration
    Registration results of vision angle 30°. (a) View 1 of rough registration; (b) View 2 of rough registration;(c) View 1 of accurate registration; (d) View 2 of accurate registration
    Wood-leaf separation of vision angle 15°. (a) RF feature channels; (b) RF full channels;(c) SVM feature channels; (d) SVM full channels
    Wood-leaf separation of vision angle 30°. (a) RF feature channels; (b) RF full channels;(c) SVM feature channels; (d) SVM full channels
    • Table 1. Point cloud registration evaluation

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      Table 1. Point cloud registration evaluation

      Rotating angle/°RegistrationEMSE/mmHD/mm
      15ICP1.28658.112
      Rough registration0.67741.088
      Proposed method0.66837.222
      30ICP2.447116.121
      Rough registration1.13789.753
      Proposed method1.13588.070
    • Table 2. Wood‑leaf separation evaluation

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      Table 2. Wood‑leaf separation evaluation

      Rotating angle/°MethodChannel selectionLeafWoodTotal
      15RFFull99.45%87.80%97.49%
      Feature99.49%91.58%98.17%
      SVMFull96.93%92.56%96.19%
      Feature99.51%90.47%97.97%
      30RFFull99.86%93.42%98.84%
      Feature99.90%92.76%98.87%
      SVMFull98.78%92.11%97.70%
      Feature99.79%93.86%98.84%
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    Zheng CAO, Hui SHAO, Long SUN, Yuxia HU, Jie CHEN, Heng XU, Chong CHEN. Research of multi‑view wood‑leaf 3D reconstruction based on hyperspectral lidar[J]. Chinese Journal of Quantum Electronics, 2024, 41(4): 659

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    Paper Information

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    Received: May. 20, 2022

    Accepted: --

    Published Online: Jan. 8, 2025

    The Author Email:

    DOI:10.3969/j.issn.1007-5461.2024.04.010

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