Laser & Optoelectronics Progress, Volume. 60, Issue 10, 1028001(2023)

Atmospheric Correction in Mountainous Areas Based on Environmental Satellite CCD Images

Chao Xia1...2, Honglian Huang1,*, Xiaobing Sun1, Xiao Liu1, Haixiao Yu1,2, and Yichen Wei12 |Show fewer author(s)
Author Affiliations
  • 1Key Laboratory of Optical Calibration and Characterization, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, Anhui, China
  • 2University of Science and Technology of China, Hefei 230026, Anhui, China
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    Figures & Tables(13)
    Normalized spectral response curves of each spectrum segment of CCD3 camera
    Atmospheric correction process of remote sensing images in mountainous areas based on Environmental Satellite
    Remote sensing image and DEM data after pretreatment. (a) Multispectral remote sensing image of region A to be corrected; (b) DEM matched by region A; (c) multispectral remote sensing image of region B to be corrected; (d) DEM matched by region B
    Topographic factors of regions A and B. (a) Slope of region A; (b) aspect of region A; (c) sky view factor of region A; (d) illumination angle of region A; (e) slope of region B; (f) aspect of region B; (g) sky view factor of region B; (h) illumination angle of region B
    Images of regions A and B before and after correction. (a) Image of region A before correction; (b) image of region A after correction; (c) image of region B before correction; (d) image of region B after correction
    Image entropy of region B before and after correction
    Image contrast of region B before and after correction
    Image definition of region B before and after correction
    Regression curves of cosine values of illumination angle and images in different bands before and after correction. (a) Band 1 before correction; (b) band 1 after correction; (c) band 2 before correction; (d) band 2 after correction; (e) band 3 before correction; (f) band 3 after correction
    Spectral curves of different features before and after correction. (a) Withered grass; (b) Chinese pine;(c)fruit tree
    • Table 1. Band setting of atmospheric calibrator

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      Table 1. Band setting of atmospheric calibrator

      BandCentral wavelength /nmWavelength range /nmProbe paramsPolarization
      Band 1410400-420AerosolYes
      Band 2443433-453AerosolYes
      Band 3555545-565AerosolYes
      Band 4670660-680AerosolYes
      Band 5865845-885Aerosol,steam,cloudYes
      Band 6910900-920SteamYes
      Band 713801360-1400Cirrus recognitionYes
      Band 816101580-1640Aerosol,surfaceYes
      Band 922502210-2290Aeroso,surfaceYes
    • Table 2. 6S model input parameters

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      Table 2. 6S model input parameters

      Geometry parameterSolar zenith /(°)22.160191
      Solar azimuth /(°)151.045525
      Satellite zenith /(°)8.911552
      Satellite azimuth /(°)103.483838
      Observation date2021-05-22
      Atmospheric parameterAtmosphere modelMidlatitude summer
      Aerosol modelMainland
      Aerosol concentrationregion A:0.223
      region B:0.217
      Sensor parameterTarget altitude /kmregion A:1.6845
      region B:0.9555
      Band range /nmBand 1:450-520
      Band 2:520-590
      Band 3:630-690
      Band 4:770-890
      Band 5:690-730
    • Table 3. Error analysis of different features before and after correction

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      Table 3. Error analysis of different features before and after correction

      BandCentral wavelength /nmWithered grassChinese pineFruit tree
      OriginalCorrectedOriginalCorrectedOriginalCorrected
      Band 14851.490.292.070.191.670.27
      Band 25552.970.112.940.072.250.03
      Band 36600.50.080.70.210.460.21
      Band 47101.310.431.370.490.790.41
      Band 58100.550.150.410.160.110.08
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    Chao Xia, Honglian Huang, Xiaobing Sun, Xiao Liu, Haixiao Yu, Yichen Wei. Atmospheric Correction in Mountainous Areas Based on Environmental Satellite CCD Images[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1028001

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jan. 18, 2022

    Accepted: Jan. 28, 2022

    Published Online: May. 17, 2023

    The Author Email: Honglian Huang (hlhuang@aiofm.ac.cn)

    DOI:10.3788/LOP220608

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