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Acta Optica Sinica, Volume. 42, Issue 12, 1228003(2022)

Full-Waveform LiDAR Decomposition Method Using AICC Integrated Adaptive Noise Threshold Estimation

Sai Cheng, Mei Zhou*, Qiangqiang Yao, Jinhu Wang, Chuncheng Zhou, Geer Teng, and Chuanrong Li
Author Affiliations
  • Key Laboratory of Quantitative Remote Sensing Information Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (11)
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    References (1)
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    Figures & Tables(11)
    Flow chart of proposed algorithm

    Fig. 1. Flow chart of proposed algorithm

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    Result of decomposition of transmitted pulse waveform data

    Fig. 2. Result of decomposition of transmitted pulse waveform data

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    Results of echo decomposition

    Fig. 3. Results of echo decomposition

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    Comparison of effects of AICC and AIC. (a) Point cloud map; (b) hardened ground of AICC; (c) hardened ground of AIC; (d) roof of AICC; (e) roof of AIC

    Fig. 4. Comparison of effects of AICC and AIC. (a) Point cloud map; (b) hardened ground of AICC; (c) hardened ground of AIC; (d) roof of AICC; (e) roof of AIC

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    Full-waveform LiDAR data in detection area

    Fig. 5. Full-waveform LiDAR data in detection area

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    Comparison of method in this paper and threshold method for filtering and denoising

    Fig. 6. Comparison of method in this paper and threshold method for filtering and denoising

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    Waveform decomposition comparison between method in this paper and threshold method. (a) Method in this paper; (b) threshold method

    Fig. 7. Waveform decomposition comparison between method in this paper and threshold method. (a) Method in this paper; (b) threshold method

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    Comparison of residual square

    Fig. 8. Comparison of residual square

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    Comparison of point clouds generated by method in this paper and threshold method. (a) Point cloud in experimental area; (b) image of experimental area; (c) point cloud local scene 1 generated by proposed method; (d) point cloud local map scene 1 generated by threshold method; (e) contour of point cloud scene 1 generated by proposed method; (f) contour of point cloud scene 1 generated by threshold method; (g) point cloud local scene 2 generated by proposed method; (h) point cloud local scene 2 generated by threshold method; (i) contour of point cloud scene 2 generated by proposed method; (j) contour of point cloud scene 2 generated by threshold method

    Fig. 9. Comparison of point clouds generated by method in this paper and threshold method. (a) Point cloud in experimental area; (b) image of experimental area; (c) point cloud local scene 1 generated by proposed method; (d) point cloud local map scene 1 generated by threshold method; (e) contour of point cloud scene 1 generated by proposed method; (f) contour of point cloud scene 1 generated by threshold method; (g) point cloud local scene 2 generated by proposed method; (h) point cloud local scene 2 generated by threshold method; (i) contour of point cloud scene 2 generated by proposed method; (j) contour of point cloud scene 2 generated by threshold method

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    • Table 1. Parameters of LiteMapper5600 full waveform LiDAR

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      Table 1. Parameters of LiteMapper5600 full waveform LiDAR

      ParameterLiteMapper5600 from IGI
      Flying height /m700
      Wavelength /nm1550
      Ranging accuracy /m0.15
      Point cloud density /(point·m-2)4
      Laser emission angle /mrad0.5
      Sampling frequency /GHz1
      Maximum scanning angle /mrad0.5

    • Table 2. Correlation coefficient ρ and KS distance obtained by proposed method and threshold method

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      Table 2. Correlation coefficient ρ and KS distance obtained by proposed method and threshold method

      ParameterArea 1Area 2Area 3Area 4Area 5
      OurmethodThresholdmethodOurmethodThresholdmethodOurmethodThresholdmethodOurmethodThresholdmethodOurmethodThresholdmethod
      ρ0.9630.9570.9780.9620.9810.9610.9530.95260.9510.942
      KS distance0.1490.1940.1420.1850.1460.1580.1820.2170.1720.385
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    Sai Cheng, Mei Zhou, Qiangqiang Yao, Jinhu Wang, Chuncheng Zhou, Geer Teng, Chuanrong Li. Full-Waveform LiDAR Decomposition Method Using AICC Integrated Adaptive Noise Threshold Estimation[J]. Acta Optica Sinica, 2022, 42(12): 1228003

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Nov. 30, 2021

    Accepted: Jan. 27, 2022

    Published Online: Jun. 7, 2022

    The Author Email: Zhou Mei (zhoumei@aoe.ac.cn)

    DOI:10.3788/AOS202242.1228003

    Topics

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