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Acta Optica Sinica, Volume. 40, Issue 11, 1111001(2020)

Adaptive Spectral Imaging Based on a Multiple-Gain Imaging Method

Pengfei Jin1,2,3, Yuyu Tang1,2、*, and Jun Wei1,2
Author Affiliations
  • 1Key Laboratory of Infrared Detection and Imaging Technology of the Chinese Academy of Sciences, Shanghai 200083, China
  • 2Shanghai Institute of Technical Physics of the Chinese Academy of Sciences, Shanghai 200083, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
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    References (8)
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    Figures & Tables(10)
    Flowchart of adaptive imaging based on multiple-gain

    Fig. 1. Flowchart of adaptive imaging based on multiple-gain

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    Signal electron number in four special cases

    Fig. 2. Signal electron number in four special cases

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    SNR of single row and multi rows

    Fig. 3. SNR of single row and multi rows

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    SNR changes with stages and ratio

    Fig. 4. SNR changes with stages and ratio

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    Stages and ratio after constraint

    Fig. 5. Stages and ratio after constraint

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    Dynamic range of feasible scheme after condition constraint

    Fig. 6. Dynamic range of feasible scheme after condition constraint

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    Number of signal electron number of various ground object types

    Fig. 7. Number of signal electron number of various ground object types

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    SNR of several water types

    Fig. 8. SNR of several water types

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    • Table 1. Parameter setting and signal to noise ratio requirements of payload

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      Table 1. Parameter setting and signal to noise ratio requirements of payload

      Band /nmMain opticalefficiency /arb. unitsGratingefficiency /arb. unitsQuantumefficiency /arb. unitsSNR(typical) /arb. units
      B1: 375.0--395.00.08550910.55≥260
      B2: 402.0--422.00.26624310.74≥500
      B3: 433.0--453.00.35896610.85≥500
      B4: 467.5--482.50.46336310.91≥500
      B5: 482.5--497.50.47992210.92≥500
      B6: 510.0--530.00.51623910.94≥500
      B7: 555.0--575.00.56238410.95≥500
      B8: 607.0--627.00.53958410.95≥500
      B9: 630.0--650.00.53198510.93≥500
      B10:657.5--672.50.52211310.91≥440
      B11:676.0--686.00.49124410.88≥340
      B12:702.5--717.50.46891410.83≥360
      B13:740.0--760.00.43169910.75≥320
      B14:812.5--827.50.37959710.57≥200
      B15:845.0--885.00.40937010.46≥230

    • Table 2. Parameter setting of MODTRAN

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      Table 2. Parameter setting of MODTRAN

      ParameterSetting
      Spectral range350--920 nm(28740--10840 cm-1)
      Atmospheric pathA vertical or sloping path froman elevation to space
      Boundary temperature /K300
      Volume fraction ofCO2 /106380
      Ozonecontent /(10-3 g·cm-2)0.642
      Water vaporcontent /(g·cm-2)2.92
      Visibility /km23
      Observation height /km100
      FWHM /cm-11
      Atmospheric typeMid latitude summer
      AerosolMarine type
      Observation azimuth /(°)0
      Revolution time /d180
      Solar altitude angle /(°)60
      Observation zenith angle /(°)180
      Cloud patternCumulus
      Cloud bottom height /km0.66
      Cloud top height /km3.0
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    Pengfei Jin, Yuyu Tang, Jun Wei. Adaptive Spectral Imaging Based on a Multiple-Gain Imaging Method[J]. Acta Optica Sinica, 2020, 40(11): 1111001

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    Paper Information

    Category: Imaging Systems

    Received: Jan. 3, 2020

    Accepted: Mar. 4, 2020

    Published Online: Jun. 10, 2020

    The Author Email: Tang Yuyu (tangyuyu@mail.sitp.ac.cn)

    DOI:10.3788/AOS202040.1111001

    Topics

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