Acta Optica Sinica, Volume. 43, Issue 18, 1828002(2023)

Optimization Method for Laser Reflective Tomography Imaging Based on Waveform Decomposition

Yifan Liu1,2,3, Yihua Hu1,2,3、*, Shilong Xu1,2,3、**, Yicheng Wang1,2,3, Fei Han1,2,3, Liang Shi1,2,3, and Xinyuan Zhang1,2,3、***
Author Affiliations
  • 1State Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Hefei 230037, Anhui, China
  • 2Advanced Laser Technology Laboratory of Anhui Province, National University of Defense Technology, Hefei 230037, Anhui, China
  • 3Anhui Province Key Laboratory of Electronic Restriction, National University of Defense Technology, Hefei 230037, Anhui, China
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    Figures & Tables(10)
    Principle of LRTI
    Optimization method of LRTI based on waveform decomposition
    Noise threshold calculation
    Flow chart of waveform decomposition method
    Schematic diagram of experimental system
    Sinogram of laser echo signal
    Decomposed waveform components. (a) Waveform components when sampling angle is 45° ; (b) waveform components when sampling angle is 90°
    Optimized laser echo signals. (a) Optimized waveform when sampling angle is 45° ; (b) optimized waveform when sampling angle is 90°
    Reconstructed images. (a) Unprocessed reconstructed image; (b) reconstructed image after waveform decomposition
    Reconstructed images. (a), (b) Original reconstructed images when sampling angle intervals are 3° and 5°, respectively; (c), (d) reconstructed images after waveform decomposition when sampling angle intervals are 3° and 5°, respectively
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    Yifan Liu, Yihua Hu, Shilong Xu, Yicheng Wang, Fei Han, Liang Shi, Xinyuan Zhang. Optimization Method for Laser Reflective Tomography Imaging Based on Waveform Decomposition[J]. Acta Optica Sinica, 2023, 43(18): 1828002

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Nov. 23, 2022

    Accepted: Jan. 6, 2023

    Published Online: Sep. 11, 2023

    The Author Email: Yihua Hu (skl_hyh@163.com), Shilong Xu (xushi1988@yeah.net), Xinyuan Zhang (skl_zxy@163.com)

    DOI:10.3788/AOS222044

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