Opto-Electronic Engineering, Volume. 49, Issue 6, 210423(2022)

A generative method for atmospheric polarization modelling based on neighborhood constraint

Qian Cheng1,2, Xinjian Gao1、*, Jun Gao1,2, Xin Wang1,2, Tianyi Dang1,2, and Yuan Yan1,2
Author Affiliations
  • 1School of Computer and Information, Hefei University of Technology, Hefei, Anhui 230009, China
  • 2Image Information Processing Laboratory, Hefei University of Technology, Hefei, Anhui 230009, China
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    Figures & Tables(12)
    Polarization angle distribution of the atmospheric polarization under different occlusions
    Network structure of the atmospheric polarization mode generation based on neighborhood constraints
    Schematic diagram of the binary mask update for the area recognition
    Atmospheric polarization mode masks
    Angular error results of the solar meridian under different masking types
    Reconstruction result of measured atmospheric polarization mode
    Comparison of the solar meridian angle error before and after reconstruction
    Comparison of the results of different reconstruction methods
    Constrained ablation results of the solar meridian
    Influence of different values ofλ2 on the performance of this method
    • Table 1. Quantitative analysis of the results of different reconstruction methods

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      Table 1. Quantitative analysis of the results of different reconstruction methods

      MethodMask type
      ABCD
      SSIMContext Enconder PConv PRVS NCAPG without NFR NCAPG 0.858 0.881 0.864 0.860 0.879 0.853 0.873 0.864 0.856 0.872 0.816 0.823 0.826 0.819 0.8440.819 0.827 0.832 0.820 0.851
      PSNRContext Enconder PConv PRVS NCAPG without NFR NCAPG 25.87 26.23 26.85 25.91 27.3624.48 26.56 25.79 24.53 26.7221.59 21.76 22.51 21.54 23.1322.21 22.74 23.55 22.13 24.48
      MSEContext Enconder PConv PRVS NCAPG without NFR NCAPG 0.045 0.038 0.036 0.043 0.0340.067 0.064 0.057 0.066 0.0530.088 0.085 0.080 0.087 0.0730.079 0.076 0.071 0.081 0.062
    • Table 2. Comparison of navigation angle errors of different reconstruction methods

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      Table 2. Comparison of navigation angle errors of different reconstruction methods

      Method Coverage/%
      1020304050
      PConv3.23°3.51°4.26°5.13°6.95°
      PRVS3.02°3.36°3.94°4.97°6.23°
      DeepFillv22.84°3.15°3.79°4.62°5.96°
      NCAPG without APCC2.61°3.01°3.67°4.45°5.42°
      NCAPG2.56°2.78°3.14°3.51°4.25°
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    Qian Cheng, Xinjian Gao, Jun Gao, Xin Wang, Tianyi Dang, Yuan Yan. A generative method for atmospheric polarization modelling based on neighborhood constraint[J]. Opto-Electronic Engineering, 2022, 49(6): 210423

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    Paper Information

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    Received: Jan. 4, 2022

    Accepted: --

    Published Online: Jul. 7, 2022

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

    DOI:10.12086/oee.2022.210423

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