Acta Optica Sinica, Volume. 42, Issue 24, 2411001(2022)

Time-Sharing Integral Image Offset Restoration Based on Imaging System Attitude Information

Lingfeng Huang1,2,3, Feng Dong1,2, and Yutian Fu1,2、*
Author Affiliations
  • 1Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China
  • 2Key Laboratory of Infrared System Detection and Imaging Technology, Chinese Academy of Sciences, Shanghai 200083, China
  • 3University of Chinese Academy of Sciences, Beijing 100049, China
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    Figures & Tables(19)
    Satellite imaging model and simulation experiment structure. (a) Geostationary orbit satellite staring imaging model; (b) simulation experiment structure
    Flowchart of image offset repair algorithm for attitude angle calculation
    Simplified model of imaging optical system. (a) Correspondence of parallel light imaging pixels; (b) image shift caused by the change of incident light angle
    Offset distance of imaging pixels caused by small changes in the angle of incidence
    Quantization correspondence between offset distance and offset pixel value. (a) Half-pixel and floating-point sub-pixel; (b) pixel shift distance
    Experimental equipment and target image. (a) Experimental equipment; (b) observation target image by target edge method
    Long exposure image and time-sharing integral superimposed image. (a) Repeated superposition result of single-frame images; (b) multi-frame image superposition result after angle restoration
    Single line distribution function of different images
    Image GMG with different processing methods
    Image GMG lift ratio before and after restoration
    Partial images of edge graph. (a) Part of unrepaired edge map; (b) part of edge map after repair
    MTF curves of image processed by different algorithms
    Improvement trend of satellite 200 m resolution before and after processing by different algorithms
    Comparison of MTF lift ratio between frequency domain filtering method and interpolation method
    Image inpainting results in the presence of acquisition noise. (a) Probability density spectrum of acquisition error conforming to Gaussian distribution; (b) MTF values processed by each algorithm with acquisition error; (c) MTF lift ratio processed by each algorithm with acquisition error
    Inpainting effect for low signal-to-noise ratio images. (a) Low signal-to-noise ratio image; (b) MTF values of low signal-to-noise ratio image processed by each algorithm; (c) MTF lift ratio of low signal-to-noise ratio image processed by each algorithm
    • Table 1. Comprehensive parameters of simulation experiment system

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      Table 1. Comprehensive parameters of simulation experiment system

      Optical parameterCamera parameterSystem parameter

      Focal

      length /mm

      Object distance /m

      Resolution /

      (pixel×pixel)

      Pixel size /μmExposure time /ms

      Angular

      resolution /(°)

      Line resolution /mm
      5051535×10244.8100.00560.4800
    • Table 2. Angle selection value of simulation experiment

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      Table 2. Angle selection value of simulation experiment

      Test numberFocal length /mmRotation angle /(°)Deviation distance /μmDeviation /pixel
      150000
      2500.0043.49060.7272

      3

      4

      5

      6

      50

      50

      50

      50

      0.008

      0.012

      0.016

      0.020

      6.9813

      10.4719

      13.9626

      17.4532

      1.4544

      2.1681

      2.9089

      3.6361

    • Table 3. Comparison of characteristic MTF values before and after algorithm processing

      View table

      Table 3. Comparison of characteristic MTF values before and after algorithm processing

      Type of processingResolution /(lp·mm-1
      MTF50MTF10MTF0
      Single frame image326380
      Fourier algorithm3310185
      Quadratic interpolation214889
      Unprocessed image203483
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    Lingfeng Huang, Feng Dong, Yutian Fu. Time-Sharing Integral Image Offset Restoration Based on Imaging System Attitude Information[J]. Acta Optica Sinica, 2022, 42(24): 2411001

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    Paper Information

    Category: Imaging Systems

    Received: Jan. 24, 2022

    Accepted: May. 11, 2022

    Published Online: Dec. 14, 2022

    The Author Email: Fu Yutian (yutianfu@mail.sitp.ac.cn)

    DOI:10.3788/AOS202242.2411001

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