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Laser & Optoelectronics Progress, Volume. 61, Issue 15, 1501001(2024)

Reconstruction Method for Measured Atmospheric Polarization Mode Based on Non-Neighborhood Constraint

Wenli Wang1,2, Xinjian Gao1、*, Changhao Bao1,2, Lei Shi1,2, Xin Wang1,2, and Jun Gao1,2
Author Affiliations
  • 1School of Computer and Information, Hefei University of Technology, Hefei 230009, Anhui, China
  • 2Image Information Processing Laboratory, Hefei University of Technology, Hefei 230009, Anhui, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (14)
    Equations (15)
    References (25)
    Cited By (1)
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    Figures & Tables(14)
    Acquisition process of ground truth of disturbed atmospheric polarization data

    Fig. 1. Acquisition process of ground truth of disturbed atmospheric polarization data

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    Reconstruction network of measured atmospheric polarization mode based on non-neighborhood constraints

    Fig. 2. Reconstruction network of measured atmospheric polarization mode based on non-neighborhood constraints

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    Non-neighborhood feature reconstruction process. (a) Data to be reconstructed; (b) reconstruction process; (c) reconstruction results

    Fig. 3. Non-neighborhood feature reconstruction process. (a) Data to be reconstructed; (b) reconstruction process; (c) reconstruction results

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    Polarization data acquisition equipment

    Fig. 4. Polarization data acquisition equipment

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    Polarization reconstruction results under irregular mask coverage. (a) Data to be reconstructed; (b) ground truth; (c) reconstruction result

    Fig. 5. Polarization reconstruction results under irregular mask coverage. (a) Data to be reconstructed; (b) ground truth; (c) reconstruction result

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    Reconstruction results under interference of different areas

    Fig. 6. Reconstruction results under interference of different areas

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    Reconstruction experiment of measured atmospheric polarization mode under the surrounding interference. (a) Sky polarization image; (b) polarization image need to be reconstructed; (c) ground truth; (d) reconstruction result

    Fig. 7. Reconstruction experiment of measured atmospheric polarization mode under the surrounding interference. (a) Sky polarization image; (b) polarization image need to be reconstructed; (c) ground truth; (d) reconstruction result

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    Reconstruction experiment of measured atmospheric polarization mode under the surrounding interference. (a) Sky polarization image; (b) polarization image need to be reconstructed; (c) ground truth; (d) reconstruction result

    Fig. 8. Reconstruction experiment of measured atmospheric polarization mode under the surrounding interference. (a) Sky polarization image; (b) polarization image need to be reconstructed; (c) ground truth; (d) reconstruction result

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    Polarization reconstruction experiment under cloud interference. (a) Sky polarization image; (b) polarization image need to be reconstructed; (c) ground truth; (d) reconstruction result

    Fig. 9. Polarization reconstruction experiment under cloud interference. (a) Sky polarization image; (b) polarization image need to be reconstructed; (c) ground truth; (d) reconstruction result

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    Comparison of reconstruction results of different methods. (a) Polarization image need to be reconstructed; (b) ground truth; (c) Ref. [11] method; (d) Ref. [15] method; (e) Ref.[17] method; (f) MISF[24]; (g) Repaint[25]; (h) proposed method

    Fig. 10. Comparison of reconstruction results of different methods. (a) Polarization image need to be reconstructed; (b) ground truth; (c) Ref. [11] method; (d) Ref. [15] method; (e) Ref.[17] method; (f) MISF[24]; (g) Repaint[25]; (h) proposed method

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    Reconstruction results under cloud interference after removing non-neighborhood feature inpainting module. (a) Change trend of the indicator PSNR; (b) change trend of the indicator SSIM

    Fig. 11. Reconstruction results under cloud interference after removing non-neighborhood feature inpainting module. (a) Change trend of the indicator PSNR; (b) change trend of the indicator SSIM

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    • Table 1. Quantitative analysis of reconstruction results under cloud disturbance

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      Table 1. Quantitative analysis of reconstruction results under cloud disturbance

      Cloud areaMSEPSNRSSIM
      （0%，20%）0.021427.250.9470
      （20%，40%）0.027626.570.9335
      （40%，60%）0.045424.220.8927
      （60%，80%）0.056222.840.8652
      （80%，100%）0.057722.250.8604

    • Table 2. Quantitative analysis of reconstruction results with different methods

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      Table 2. Quantitative analysis of reconstruction results with different methods

      MethodMSEPSNRSSIM
      Ref.［11］0.045820.320.7931
      Ref.［15］0.040221.450.8148
      Ref.［17］0.041722.260.8226
      MISF［24］0.038123.680.8624
      Repaint［25］0.038323.640.8861
      Proposed0.034624.370.8995

    • Table 3. Reconstruction results under cloud interference after removing non-neighborhood feature inpainting module

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      Table 3. Reconstruction results under cloud interference after removing non-neighborhood feature inpainting module

      Cloud areaMSEPSNRSSIM
      （0%，20%）0.035325.640.8744
      （20%，40%）0.056424.150.8082
      （40%，60%）0.082722.260.7159
      （60%，80%）0.091219.410.6914
      （80%，100%）0.122117.040.5657
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    Wenli Wang, Xinjian Gao, Changhao Bao, Lei Shi, Xin Wang, Jun Gao. Reconstruction Method for Measured Atmospheric Polarization Mode Based on Non-Neighborhood Constraint[J]. Laser & Optoelectronics Progress, 2024, 61(15): 1501001

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: May. 24, 2023

    Accepted: Aug. 8, 2023

    Published Online: Aug. 12, 2024

    The Author Email: Xinjian Gao (gaoxinjian@hfut.edu.cn)

    DOI:10.3788/LOP231369

    CSTR:32186.14.LOP231369

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology