• Infrared and Laser Engineering
  • Vol. 52, Issue 9, 20230096 (2023)
Yingying Li1, Ziwei Liu1, Jingkun Zhang2, Linlin Wu1..., Xue Ji1,3,4,* and Mingchang Wang1|Show fewer author(s)
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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    DOI: 10.3788/IRLA20230096 Cite this Article
    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 Copy Citation Text show less
    Methodology flow of this paper
    Fig. 1. Methodology flow of this paper
    Five types of waveform distribution
    Fig. 2. Five types of waveform distribution
    Deviation of amplitude between two adjacent points (∆A)
    Fig. 3. Deviation of amplitude between two adjacent points (∆A)
    Decay constant (\begin{document}$ a $\end{document})
    Fig. 4. Decay constant ( Unknown environment 'document')
    Waveform feature distribution
    Fig. 5. Waveform feature distribution
    Waveform feature distribution
    Fig. 6. Waveform feature distribution
    ALB study area location
    Fig. 7. ALB study area location
    Feature importance ranking result
    Fig. 8. Feature importance ranking result
    Accuracy statistics for different feature combinations
    Fig. 9. Accuracy statistics for different feature combinations
    Box figures of waveform important feature distributions
    Fig. 10. Box figures of waveform important feature distributions
    Confusion matrix for the five waveform classifications
    Fig. 11. Confusion matrix for the five waveform classifications
    Results of waveform classification in the study area
    Fig. 12. Results of waveform classification in the study area
    Figure of waveform classification results in the experimental area
    Fig. 13. Figure of waveform classification results in the experimental area
    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%
    Table 1. Comparison of the results of different classi-fication methods
    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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