Acta Photonica Sinica, Volume. 53, Issue 6, 0610004(2024)

A Large Aperture Static Interference Hyperspectral Imaging Data Compression Method

Wei WANG1,2,3, Xiangpeng FENG1,3, Geng ZHANG1,3、*, Xuebin LIU1,3, and Siyuan LI1,3
Author Affiliations
  • 1Key Laboratory of Spectral Imaging Technology, Xi'an Institute of Optics and Precision Mechanics of CAS, Xi'an 710119, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Shaanxi Provincial Key Laboratory of Optical Remote Sensing and Intelligent Information Processing, Xi'an 710119, China
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    Figures & Tables(19)
    LASIS imaging principle and interference data extraction
    LASIS image extraction
    SIORR processing process
    Overlay of interferograms of a column of ground objects
    Schematic diagram of reducing quantization bits by subtracting similar interference curves
    Partial interference curves collected from the curve table
    Extraction of fast views with different optical path differences
    Prediction flow chart
    Correlation of fast views with different optical path differences
    Effect after decorrelation
    LASIS raw data, curve table encoded representation, pixel quantization histogram after decorrelation
    Comparison of rate distortion curves for different algorithms
    Comparison of images recovered by different algorithms (river)
    Comparison of restored images by different algorithms (farmland)
    Comparison between reconstructed interference curve and original interference curve
    Comparison between restored spectral curve and original spectral curve
    • Table 1. Pseudocode for curve table algorithm

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      Table 1. Pseudocode for curve table algorithm

      Algorithm 1 Interference curve processing and curve table establishment

      1:Inputs: LAMIS image X curve table index Xindex,curve table T the number of rows in LAMIS r, the number of rows in the curve table t

      2:for i=1 : r do

      3: for j = 1 : t do

      4: if max(li-lj') < Vstandard and min(li-lj')>-Vstandard then

      5: li=li-lj'

      6: update Xindex

      7: break

      8: else

      9: if j = = t then

      10: add curve li into T

      11: end if

      12: end if

      13: end for

      14: end for

      15:Outputs: LAMIS image X curve table index Xindex,curve table T

    • Table 2. The average lossless compression ratio of each algorithm and the pixel depth of single path difference image

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      Table 2. The average lossless compression ratio of each algorithm and the pixel depth of single path difference image

      JPEG2000CCSDS-123L3CLC-FDNetYUSIORR
      Compression ratio2.262.362.862.972.953.13
      BPP5.3095.0844.10583.97494.0673.8461
      Imprvoement-4.42%26.5%31.4%30.5%38.4%
    • Table 3. Comparison of reconstructed interference curve and spectral curve

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      Table 3. Comparison of reconstructed interference curve and spectral curve

      Algorithm/BPPRestoration of interference curve MSERestoration of interference curve PSNRRestoration of spectral curve RQERestoration of spectral curve SA
      JPEG2000/0.410 48.481 138.846 30.034 80.071 3
      NTTD/0.404 044.883 441.243 620.028 00.071 1
      STF/0.414 724.308 241.787 850.030 90.070 9
      NDDT/0.447 613.833 442.294 930.034 20.067 8
      McQuic/0.444 833.926 942.190 360.029 90.067 7
      SIORR/0.418 422.524 044.109 860.015 80.048 0
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    Wei WANG, Xiangpeng FENG, Geng ZHANG, Xuebin LIU, Siyuan LI. A Large Aperture Static Interference Hyperspectral Imaging Data Compression Method[J]. Acta Photonica Sinica, 2024, 53(6): 0610004

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    Paper Information

    Category:

    Received: Oct. 23, 2023

    Accepted: Jan. 23, 2024

    Published Online: Jul. 16, 2024

    The Author Email: Geng ZHANG (gzhang@opt.ac.cn)

    DOI:10.3788/gzxb20245306.0610004

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