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Acta Optica Sinica, Volume. 39, Issue 6, 0611001(2019)

Ultraviolet-Visible Polarimetric Imaging and Image Fusion Technology with High Resolution and Large Field-of-View

Qingling Li1,2,3, Dayi Yin1,2,3、*, Jintao Yu1,2,3, and Lei Li1,2,3
Author Affiliations
  • 1 University of Chinese Academy of Sciences, Beijing 100049, China
  • 2 Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
  • 3 Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China
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    Figures&Tables (9)
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    References (30)
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    Figures & Tables(9)
    Multi-angle distribution of atmospheric polarization by single Rayleigh scattering (circle refers to the sun position and arrows refer to the angle of the polarization light)

    Fig. 1. Multi-angle distribution of atmospheric polarization by single Rayleigh scattering (circle refers to the sun position and arrows refer to the angle of the polarization light)

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    Relationship of polarization degree and scattering angle under incidence of unpolarized light at different wave bands. (a) UV; (b) visible light

    Fig. 2. Relationship of polarization degree and scattering angle under incidence of unpolarized light at different wave bands. (a) UV; (b) visible light

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    Simulation results of polarization state under condition of HITRAN96 bandwidth response. (a) Polarization degree; (b) polarization angle

    Fig. 3. Simulation results of polarization state under condition of HITRAN96 bandwidth response. (a) Polarization degree; (b) polarization angle

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    Functional schematic of UV-visible light polarization imaging system

    Fig. 4. Functional schematic of UV-visible light polarization imaging system

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    Sky target polarization images in pseudo color map. (a) Visible intensity; (b) visible polarization degree; (c) visible polarization angle; (d) UV polarization degree; (e) UV polarization angle; (f) UV-visible fusion polarization degree; (g) UV-visible fusion polarization angle

    Fig. 5. Sky target polarization images in pseudo color map. (a) Visible intensity; (b) visible polarization degree; (c) visible polarization angle; (d) UV polarization degree; (e) UV polarization angle; (f) UV-visible fusion polarization degree; (g) UV-visible fusion polarization angle

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    Polarization statistical distributions of pixels in three regions. (a) Polarization degree; (b) polarization angle

    Fig. 6. Polarization statistical distributions of pixels in three regions. (a) Polarization degree; (b) polarization angle

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    • Table 1. Particle spectrum parameters and composition of urban surface aerosol model

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      Table 1. Particle spectrum parameters and composition of urban surface aerosol model

      Aerosol modelSize distributionType
      Niriσi
      Urban0.9998750.030.35Mixture of water soluble, dust-like aerosol, and soot-like aerosol
      0.0001250.500.40

    • Table 2. Parameters of UV-visible light polarization imaging system

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      Table 2. Parameters of UV-visible light polarization imaging system

      ParameterUV moduleVisible module
      Sensitive wavelength /nm360-400 (peak at 380 nm)380-780 (peak at 520 nm)
      Polarization detection approachrotating elementdivision of focal plane
      Total field of view /[(°)×(°)]8.7×6.419.6×16.4
      Angular resolution /mrad0.230.28
      Number of detected polarized directions44
      Quantization bits1412
      Frame frequency /Hz2024
      SNR623.5(50% solar constant)101.5(50% solar constant)
      Polarization degree dynamic range0.1-0.90.05-0.95
      Measurement error of linear polarization degree /%<1.5<2.7

    • Table 3. Statistical results of image polarization degree and polarization angle in cloud-free area and cloud area in UV and visible light

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      Table 3. Statistical results of image polarization degree and polarization angle in cloud-free area and cloud area in UV and visible light

      ParameterCloudlessregion in visibleCloudregion in visibleCloudlessregion in UVCloudregion in UV
      DoPAoP /(°)DoPAoP /(°)DoPAoP /(°)DoPAoP /(°)
      Average0.060-52.10.060-60.90.0786.40.09084.7
      Standard deviation0.0108.70.0104.10.0314.20.0205.7
      Simulation result0.12570.90.03636.60.14367.80.16446.2
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    Qingling Li, Dayi Yin, Jintao Yu, Lei Li. Ultraviolet-Visible Polarimetric Imaging and Image Fusion Technology with High Resolution and Large Field-of-View[J]. Acta Optica Sinica, 2019, 39(6): 0611001

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    Paper Information

    Category: Imaging Systems

    Received: Dec. 29, 2018

    Accepted: Feb. 19, 2019

    Published Online: Jun. 17, 2019

    The Author Email: Yin Dayi (yindayi@mail.sitp.ac.cn)

    DOI:10.3788/AOS201939.0611001

    Topics

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