Infrared and Laser Engineering, Volume. 52, Issue 6, 20230213(2023)

Lidar point cloud expansion and identification method for masking targets based on time-spectra information

Shilong Xu1,2, Yuhao Xia1,2、*, Jiajie Dong1,2, and Qishu Qian1,2
Author Affiliations
  • 1State Key Laboratory of Pulsed Power Laser Technology, College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China
  • 2Anhui Laboratory of Advanced Laser Technology, Electronic Countermeasure Institute, National University of Defense Technology, Hefei 230037, China
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    Figures & Tables(7)
    Flowchart of the proposed hyperspectral waveform decomposition method
    Schematic diagram of point cloud expansion and identification method
    Schematic diagram of the experimental scene
    Decomposition results of classical waveform decomposition method for echoes of four wavelength channels
    Waveform decomposition results from four wavelength channels using hyperspectral waveform decomposition method
    Reconstructed targets' spectral reflectance results. (a) Classical waveform decomposition method; (b) Hyperspectral waveform decomposition method
    Comparison of the laser point cloud and expansion results. (a) Original point cloud; (b) After expansion; (c) Before indentification; (d) After indentification
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    Shilong Xu, Yuhao Xia, Jiajie Dong, Qishu Qian. Lidar point cloud expansion and identification method for masking targets based on time-spectra information[J]. Infrared and Laser Engineering, 2023, 52(6): 20230213

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    Paper Information

    Category: Photoelectric measurement

    Received: Mar. 10, 2023

    Accepted: --

    Published Online: Jul. 26, 2023

    The Author Email: Xia Yuhao (xiayuhao_nudt@nudt.edu.cn)

    DOI:10.3788/IRLA20230213

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