Chinese Journal of Lasers, Volume. 45, Issue 10, 1010001(2018)

Adaptive Depth Extraction Algorithm for Ocean Lidar

Liu Menggeng1,2,3, He Yan2、*, Chen Weibiao1,3, Wang Yongxing4,5, Zhu Xia5, Shi Xiangao5, Huang Tiancheng6, and Zhang Yufei1,2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
  • 5[in Chinese]
  • 6[in Chinese]
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    Figures & Tables(17)
    Transmission and scattering of photon packet
    Flow chart of Monte Carlo algorithm
    Airbone double frequency ocean lidar
    Scanning mode of LADMⅡ system
    Relationship between energy and depth of echo wave
    Relationship between pulse width and depth of echo wave
    Matched filtering
    Results of matched filtering and adaptive depth extraction algorithm in deep area under different depths. (a) 33.22 m; (b) 33.64 m; (c) 34.57 m; (d) 33.67 m
    Depth statistics of lidar data
    Comparison of extraction capacity with different methods
    Point cloud of surveying area. (a) Fixed matching filtering algorithm; (b) adaptive depth extraction algorithm
    Single beam sonar data
    Location unmatch between single beam sonar data and lidar data
    • Table 1. Parameters of airbone double frequency ocean modular

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      Table 1. Parameters of airbone double frequency ocean modular

      ParameterValue
      Wavelength /nm532
      Pulse width /ns2
      Pulse energy /mJ3
      Repetition rate /kHz1
      Divergence angle /mrad0.2
      Scanning modeEllipse
      Scanning angle /(°)±15
      SensorPMT
      Aperture /mm200
      Field of view /mrad40/6
    • Table 2. Monte Carlo simulation parameters

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      Table 2. Monte Carlo simulation parameters

      ParameterValue
      Wavelength /nm532
      Pulse width /ns2
      Pulse energy /mJ3
      Divergence angle /mrad0.2
      Sea water refractive index1.33
      Air refractive index1
      Attenuation coefficient0.54
      Scattering coefficient0.43
      Photon packet threshold1
      Field of view /mrad40
      Lidar height /m400
      Asymmetric parameter0.924
    • Table 3. Accuracy analysis

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      Table 3. Accuracy analysis

      Depth /mRMSE /m
      10-200.239
      20-300.258
      >300.292
    • Table 4. Performance of different methods

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      Table 4. Performance of different methods

      MethodAveragetime cost /sRMSE /mSuccessrate /%
      Adaptive depthextraction0.0061480.26395.4
      Deconvolution0.0325640.22795.3
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    Liu Menggeng, He Yan, Chen Weibiao, Wang Yongxing, Zhu Xia, Shi Xiangao, Huang Tiancheng, Zhang Yufei. Adaptive Depth Extraction Algorithm for Ocean Lidar[J]. Chinese Journal of Lasers, 2018, 45(10): 1010001

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    Paper Information

    Category: remote sensing and sensor

    Received: Mar. 16, 2018

    Accepted: --

    Published Online: Oct. 12, 2018

    The Author Email: Yan He (heyan@mail.chcnc.ac.cn)

    DOI:10.3788/cjl201845.1010001

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