Acta Photonica Sinica, Volume. 50, Issue 9, 0907001(2021)

A Denoising Method for LiDAR Bathymetry System via Multidimensional Temporal-spatial Analysis

Mao YE1...2, Pinquan WANG1,2, Yiqiang ZHAO1,2,*, Rui CHEN1,2, Bin HU1,2 and Guoqing ZHOU3 |Show fewer author(s)
Author Affiliations
  • 1The School of Microelectronics, Tianjin University, Tianjin300072, China
  • 2Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin30007, China
  • 3Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin University of Technology, Guilin, Guangxi541004, China
  • show less
    Figures & Tables(12)
    Temporal-spatial correlation in multiple periods of echo signals
    Framework of temporal-spatial joint denoising method
    Comparison on processing characteristic waveform by AGGF, Wavelet Filter, Wiener Filter and proposed method
    Results of processing continuous characteristic waveforms by basic denoising and final denoising
    Per-frame MSE and PSNR value of different methods
    Comparison on processing simulation waveform by AGGF, Wavelet Filter, Wiener Filter and proposed method
    Results of processing continuous simulation waveforms by basic denoising and final denoising
    Seafloor point cloud of waveform set denoised by different methods
    Comparison on processing measured waveform by AGGF, Wavelet Filter, Wiener Filter, and proposed method
    Results of processing continuous measured waveforms by basic denoising and final denoising
    • Table 1. MSE and PSNR values of different noise variance in simulated experiment

      View table
      View in Article

      Table 1. MSE and PSNR values of different noise variance in simulated experiment

      Noise varianceEvaluation IndexOriginalAGGFWaveletWienerProposed method
      1.5MSE1.05×10-49.14×10-58.48×10-51.58×10-45.12×10-5
      PSNR-1.2787.8584.8055.4769.205
      2.5MSE1.95×10-41.01×10-41.18×10-41.72×10-45.16×10-5
      PSNR-7.7707.1933.0492.4749.099
      3.5MSE3.11×10-41.28×10-41.53×10-41.89×10-45.27×10-5
      PSNR-11.5876.9502.2592.1748.767
      4.5MSE4.55×10-41.33×10-41.91×10-42.07×10-45.30×10-5
      PSNR-17.5263.527-1.954-2.8577.664
    • Table 2. SD and MAE values between depth extracted from denoised waveform set and true depth

      View table
      View in Article

      Table 2. SD and MAE values between depth extracted from denoised waveform set and true depth

      Evaluation indexOriginalAGGFWaveletWienerProposed method
      SD/m0.10100.01590.02320.03410.0082
      MAE/m1.16580.58620.85090.88440.5130
    Tools

    Get Citation

    Copy Citation Text

    Mao YE, Pinquan WANG, Yiqiang ZHAO, Rui CHEN, Bin HU, Guoqing ZHOU. A Denoising Method for LiDAR Bathymetry System via Multidimensional Temporal-spatial Analysis[J]. Acta Photonica Sinica, 2021, 50(9): 0907001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Feb. 9, 2021

    Accepted: Apr. 14, 2021

    Published Online: Oct. 22, 2021

    The Author Email: ZHAO Yiqiang (yq_zhao@tju.edu.cn)

    DOI:10.3788/gzxb20215009.0907001

    Topics