Infrared and Laser Engineering, Volume. 52, Issue 9, 20230096(2023)

Classification of full waveform data for monochromatic airborne LiDAR bathymetry based on waveform morphological features

Yingying Li1, Ziwei Liu1, Jingkun Zhang2, Linlin Wu1, Xue Ji1,3,4、*, and Mingchang Wang1
Author Affiliations
  • 1Academy of Earth Exploration Science and Technology, Jilin University, Changchun 130000, China
  • 2Academy of Urban Rail Transportation, Shanghai University of Engineering and Technology, Shanghai 201620, China
  • 3State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
  • 4Technology Innovation Center for Ocean Telemetry, Ministry of Natural Resources, Qingdao 266061, China
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    Figures & Tables(14)
    Methodology flow of this paper
    Five types of waveform distribution
    Deviation of amplitude between two adjacent points (∆A)
    Decay constant (\begin{document}$ a $\end{document})
    Waveform feature distribution
    Waveform feature distribution
    ALB study area location
    Feature importance ranking result
    Accuracy statistics for different feature combinations
    Box figures of waveform important feature distributions
    Confusion matrix for the five waveform classifications
    Results of waveform classification in the study area
    Figure of waveform classification results in the experimental area
    • Table 1. Comparison of the results of different classi-fication methods

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      Table 1. Comparison of the results of different classi-fication methods

      Waveform typesRFSVMKNN
      Anomalies waveform100%100%100%
      Over-fitted waveform100%100%100%
      Land waveform99.46%95.9%93.42%
      Sea surface waveform94.29%84.5%72.86%
      Bathymetry waveform99.02%90%88.77%
      OA98.55%94%91.01%
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    Yingying Li, Ziwei Liu, Jingkun Zhang, Linlin Wu, Xue Ji, Mingchang Wang. Classification of full waveform data for monochromatic airborne LiDAR bathymetry based on waveform morphological features[J]. Infrared and Laser Engineering, 2023, 52(9): 20230096

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    Paper Information

    Category: Lasers & Laser optics

    Received: Feb. 27, 2023

    Accepted: --

    Published Online: Oct. 23, 2023

    The Author Email: Ji Xue (jixuesdqd@jlu.edu.cn)

    DOI:10.3788/IRLA20230096

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