Laser & Optoelectronics Progress, Volume. 59, Issue 12, 1210007(2022)

Single-Photon Denoising Algorithm Based on Line Scanning Characteristics of Lidar Channels

Shuo Wei1,2, Nanxiang Zhao1,2、*, Yihua Hu1,2, Minle Li1,2, and Wanshun Sun1,2
Author Affiliations
  • 1State Key Laboratory of Pulsed Power Laser Technology, Electronic Warfare Academy, National University of Defense Technology, Hefei 230037, Anhui , China
  • 2Advanced Laser Technology, Hefei 230037, Anhui , China
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    Figures & Tables(9)
    Sectional view after data projection. (a) Complete detection data; (b) signal point cloud
    Data magnification effect
    Flowchart of the proposed filtering algorithm
    Histogram of k(i)
    Rough denoising result graph
    Fine denoising result graph
    • Table 1. Related parameters at different t

      View table

      Table 1. Related parameters at different t

      t /mstd /mnum_noise
      108.75608384
      208.83649209
      308.87599761
      5012.113411152
      7014.173312603
      9016.576214374
      10020.642614958
    • Table 2. Processing results of different channel data

      View table

      Table 2. Processing results of different channel data

      Channel numberKT /%KR/%
      Channel 1398.7596.92
      Channel 4498.8492.31
      Channel 5597.8998.10
      Channel 9497.9090.63
      Channel 9897.3191.66
    • Table 3. Processing results of different channel data

      View table

      Table 3. Processing results of different channel data

      Channel numberKT /%KR/%
      Channel 1398.0795.49
      Channel 4499.7890.93
      Channel 5598.7197.12
      Channel 9499.6389.16
      Channel 9899.4091.40
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    Shuo Wei, Nanxiang Zhao, Yihua Hu, Minle Li, Wanshun Sun. Single-Photon Denoising Algorithm Based on Line Scanning Characteristics of Lidar Channels[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210007

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    Paper Information

    Category: Image Processing

    Received: May. 27, 2021

    Accepted: Jun. 10, 2021

    Published Online: May. 23, 2022

    The Author Email: Nanxiang Zhao (southfly@163.com)

    DOI:10.3788/LOP202259.1210007

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