• Infrared and Laser Engineering
  • Vol. 51, Issue 1, 20210836 (2022)
Tianhao Zhu, Hui Zhou, Yan Shi, and Qianyin Zhang
Author Affiliations
  • School of Electronic Information, Wuhan University, Wuhan 430072, China
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    DOI: 10.3788/IRLA20210836 Cite this Article
    Tianhao Zhu, Hui Zhou, Yan Shi, Qianyin Zhang. Parameter extraction method on the multiple mode waveforms of satellite laser altimeter(Invited)[J]. Infrared and Laser Engineering, 2022, 51(1): 20210836 Copy Citation Text show less
    Flow chart of the proposed method
    Fig. 1. Flow chart of the proposed method
    Sketch map of extracting the peak positions and numbers of the target response waveform (TRW) based on the boosted RL deconvolution method
    Fig. 2. Sketch map of extracting the peak positions and numbers of the target response waveform (TRW) based on the boosted RL deconvolution method
    Location of the study site and data trajectories of the GEDI and airborne lidar
    Fig. 3. Location of the study site and data trajectories of the GEDI and airborne lidar
    Prescribed parameter distributions of the known-parameter TRW and an example of the TRW
    Fig. 4. Prescribed parameter distributions of the known-parameter TRW and an example of the TRW
    Decomposed results of the received waveform by the DRET and DGDL methods
    Fig. 5. Decomposed results of the received waveform by the DRET and DGDL methods
    The processed results of the known-parameter waveform data set obtained by the DRET and DGDL methods
    Fig. 6. The processed results of the known-parameter waveform data set obtained by the DRET and DGDL methods
    Extracted errors of the waveform parameters and the successful detection rates of the component numbers by the DRET and DGDL methods
    Fig. 7. Extracted errors of the waveform parameters and the successful detection rates of the component numbers by the DRET and DGDL methods
    Decomposition results of airborne simulation data by the DRET and DGDL methods
    Fig. 8. Decomposition results of airborne simulation data by the DRET and DGDL methods
    Decomposition results of the GEDI data by the DRET and DGDL methods
    Fig. 9. Decomposition results of the GEDI data by the DRET and DGDL methods
    Point cloud distributions of the vegetated target
    Fig. 10. Point cloud distributions of the vegetated target
    Distributions of the canopy height errors under different tree heights
    Fig. 11. Distributions of the canopy height errors under different tree heights
    SourceAmplitude/VPeak position/nsPulse width/ns
    System response12015.6
    Target response0.2-1300-4005-15
    Table 1. Parameter setting of known-parameter waveform data set
    MethodComponentIubaEvaluation criterion
    $ {C}_{x} $$ {\delta }_{x} $$ {\tau }_{I} $$ {\tau }_{u} $$ {\tau }_{b} $
    1此处NA表示DGDL方法中不存在偏度系数。
    2此处NA表示该分量为错误分量,无法计算对应的参数误差。
    DRET10.69345.057.580.010.991.371.42%0.05%3.69%
    20.51366.2610.430.052.00%0.74%2.52%
    DGDL10.61343.897.16NA 10.972.6312.86%2.11%8.34%
    20.22361.2115.02NA 1NA 2NA 2NA 2
    30.31368.5510.98NA 118.97%2.31%6.22%
    Table 2. Detailed waveform parameters and evaluation indicators of the results extracted by the two methods
    Evaluation indexDRETDGDL
    $ {C}_{x} $0.9870.966
    $ {\delta }_{x} $1.2172.305
    $ {\tau }_{I} $2.18%7.56%
    $ {\tau }_{u} $0.52%3.69%
    $ {\tau }_{b} $2.33%6.47%
    $ {r}_{s} $98.70%64.25%
    Table 3. Average value of the evaluation indexes of the two methods
    Evaluation indexDRETDGDL
    $ {C}_{x} $Max0.9990.991
    Min0.9370.872
    Average0.9950.986
    Standard deviation0.0120.034
    $ {\delta }_{x} $Max9.32614.273
    Min0.6071.988
    Average1.8693.516
    Standard deviation1.2912.936
    Table 4. Correlation coefficient ( \begin{document}$C_x $\end{document}) and RMSE ( \begin{document}$\delta_x $\end{document}) of the DRET and the DGDL methods for the processing results of the airborne simulation data
    Evaluation indexDRETDGDL
    $ {C}_{x} $Max0.9990.982
    Min0.9390.854
    Average0.9930.977
    Standard deviation0.0370.062
    $ {\delta }_{x} $Max9.41215.504
    Min0.4493.075
    Average1.9534.248
    Standard deviation1.3633.712
    Table 5. Correlation coefficient ( \begin{document}$C_x $\end{document}) and RMSE ( \begin{document}$\delta_x $\end{document}) of the DRET and the DGDL methods for the processing results of the GEDI data
    Tianhao Zhu, Hui Zhou, Yan Shi, Qianyin Zhang. Parameter extraction method on the multiple mode waveforms of satellite laser altimeter(Invited)[J]. Infrared and Laser Engineering, 2022, 51(1): 20210836
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