Acta Photonica Sinica, Volume. 51, Issue 12, 1212003(2022)

Research on the Extraction Method of Test Light Source Variation Based on Directional Polarimetric Camera Data

Chen YE1,2,3, Donggen LUO1,3、*, Yixin LI4, Pingping YAO1,3, Yi WANG1,3, Guangfeng XIANG1,2,3, Yang LI1,2,3, Shuang LI1,3, and Jin HONG1,3
Author Affiliations
  • 1Anhui Institute of Optics and Fine Mechanics,Hefei Institutes of Physical Science,Chinese Academy of Sciences,Hefei 230031,China
  • 2University of Science and Technology of China,Hefei 230026,China
  • 3Key Laboratory of Optical Calibration and Characterization,Chinese Academy of Sciences,Hefei 230031,China
  • 4School of Information and Communication,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China
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    Figures & Tables(12)
    Signal wavelet decomposition process
    Schematic diagram of DPC stability experiment
    A frame of image received by one channel of DPC
    Process of extracting light source change curve
    Correlation coefficient between A1~A8 of trap detector and A1~A8 of DPC 670 nm(P1)
    Pearson correlation coefficient between A1~A8 of DN value frame sequence of 670 nm(P1)、670 nm(P2)、670 nm(P3)channel
    Variation of light source energy in all channels
    SNR calculated by different methods
    The improved SNR of the trap detector de-illumination variation method and the wavelet decomposition de- illumination variation method
    • Table 1. Variation of light energy in each wavelength band

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      Table 1. Variation of light energy in each wavelength band

      Band/nmLight energy increase ratio
      4901.065%
      9100.721%
      8650.554%
      7630.278%
      7650.268%
      6700.205%
    • Table 2. Comparison of calculation results of the instability parameter by two correction methods

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      Table 2. Comparison of calculation results of the instability parameter by two correction methods

      Band/nmBefore correctionAfter TRAP correctionAfter wavelet decomposition correction
      4900.29%0.27%0.089%
      9100.20%0.17%0.006 5%
      8650.15%0.12%0.009 1%
      7630.074%0.049%0.008 49%
      7650.071%0.047%0.009 55%
      6700.056%0.056%0.015 40%
    • Table 3. Numerical comparison of the improved SNR between trap detector de-illumination variation method and wavelet decomposition de-illumination variation method

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      Table 3. Numerical comparison of the improved SNR between trap detector de-illumination variation method and wavelet decomposition de-illumination variation method

      ChannelAfter TRAP correctionAfter wavelet decomposition correction
      Mean0.72%2.52%
      490 nm(P1)0.09%0.51%
      490 nm(P2)0.09%0.55%
      490 nm(P3)0.09%0.57%
      670 nm(P1)0.14%0.20%
      670 nm(P2)0.16%0.23%
      670 nm(P3)0.15%0.22%
      763 nm0.71%1.26%
      765 nm0.52%0.90%
      865 nm(P1)1.28%4.35%
      865 nm(P2)1.28%4.31%
      865 nm(P3)1.28%4.34%
      910 nm2.76%12.90%
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    Chen YE, Donggen LUO, Yixin LI, Pingping YAO, Yi WANG, Guangfeng XIANG, Yang LI, Shuang LI, Jin HONG. Research on the Extraction Method of Test Light Source Variation Based on Directional Polarimetric Camera Data[J]. Acta Photonica Sinica, 2022, 51(12): 1212003

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    Paper Information

    Category: Instrumentation, Measurement and Metrology

    Received: Apr. 8, 2022

    Accepted: Jun. 8, 2022

    Published Online: Feb. 6, 2023

    The Author Email: LUO Donggen (dgluo@aiofm.ac.cn)

    DOI:10.3788/gzxb20225112.1212003

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