Chinese Journal of Lasers, Volume. 49, Issue 9, 0904002(2022)

Dense-1D-U-Net: Encoder-Decoder Networks for Self-Referenced Spectral Interferometry

Qi Kuang1,2, Xiong Shen2, Yilin Xu2, Lihua Bai1, and Jun Liu2,3、*
Author Affiliations
  • 1Department of Physics, Shanghai University, Shanghai 200444, China
  • 2State Key Laboratory of High Field Laser Physics, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800, China
  • 3Center of Materials Science and Optoelectronics Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
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    Figures & Tables(10)
    Basic optical path of SRSI
    Dense-1D-U-Net neural network. (a) Overall network structure;(b) structure of dense block
    Process of interference fringe simulation
    Simulation of phase. (a) Random points for random curves; (b) curve 2; (c) curve 1; (d) final phase
    Simulation of spectrum
    Examples from datasets used in data experiments. (a) Experiment 1; (b) experiment 2; (c) experiment 3
    Calculation results samples of experiment 1
    Calculation results samples of experiment 2
    Calculation results samples of experiment 3
    Calculation results of actual data
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    Qi Kuang, Xiong Shen, Yilin Xu, Lihua Bai, Jun Liu. Dense-1D-U-Net: Encoder-Decoder Networks for Self-Referenced Spectral Interferometry[J]. Chinese Journal of Lasers, 2022, 49(9): 0904002

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    Paper Information

    Category: Measurement and metrology

    Received: Aug. 3, 2021

    Accepted: Oct. 9, 2021

    Published Online: Apr. 22, 2022

    The Author Email: Liu Jun (jliu@siom.ac.cn)

    DOI:10.3788/CJL202249.0904002

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