Infrared and Laser Engineering, Volume. 52, Issue 2, 20220308(2023)

Identification of bad pixels in shortwave infrared high-speed hyperspectral imager for spaceborne remote sensing

Yongzheng Liu, Jian Du, Qinyuning An, Fanchao Yang, Xin Zhang, and Hongbo Li
Author Affiliations
  • Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China
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    Figures & Tables(12)
    Schematic diagram of the high-resolution hyperspectral imager
    LASIS image in shortwave infrared waveband
    Function diagram of the procedure of interferometer imaging hyperspectral data
    Technology flow chart of detecting bad pixels according our temples
    Gain design template
    Bad pixels in image on Gain4 and Gain5
    The frame rate response value of each pixel in the shortwave infrared image
    Outline drawing of 1 000×256 refrigerated large area array shortwave infrared detector
    Flow chart of bad pixel identification based on gain template and frame rate template
    Bright pixels and dark pixels recognition for high speed hyperspectral imager at different gains
    The influence of bad pixels on the short wave infrared spectral image of large aperture interference imaging
    • Table 1. Comparing additional times of three bad pixels detection methods using in SWIR images

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      Table 1. Comparing additional times of three bad pixels detection methods using in SWIR images

      Image data#Time of M1/s Time of M2/s Time of M3/s
      Data12.2839.57312.796
      Data22.2659.59112.889
      Data32.2369.59912.989
      Data42.2679.57712.799
      Data52.2739.59412.896
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    Yongzheng Liu, Jian Du, Qinyuning An, Fanchao Yang, Xin Zhang, Hongbo Li. Identification of bad pixels in shortwave infrared high-speed hyperspectral imager for spaceborne remote sensing[J]. Infrared and Laser Engineering, 2023, 52(2): 20220308

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    Paper Information

    Category: Optical imaging

    Received: May. 5, 2022

    Accepted: --

    Published Online: Mar. 13, 2023

    The Author Email:

    DOI:10.3788/IRLA20220308

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