Acta Optica Sinica, Volume. 39, Issue 8, 0801003(2019)

Atmospheric Correction Method Based on Spectral Matching

Xinkai Hu1,2, Hailiang Gao2、*, and Tianhai Cheng2
Author Affiliations
  • 1 College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, Guangxi 541006, China
  • 2 National Engineering Laboratory for Remote Sensing Satellite Applications, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100012, China
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    Figures & Tables(19)
    Spectral response function of GF-1 satellite PMS2 sensor
    Fifteen equivalent spectral curves
    False color images of band 4, band 3, and band 2
    Test spectra at different AOD
    Flow chart of atmospheric correction by spectral matching method
    Reflectance histogram of each band before and after atmospheric correction. (a) Band 1; (b) band 2; (c) band 3; (d) band 4
    Measured positions of ground data
    Comparison between atmospheric calibration results and typical ground spectrum. (a) Bare soil; (b) water body; (c) dry grass; (d) cement pavement
    Diagram of locations of the same ground object at different times
    Reflectance of each band in different phases
    • Table 1. Index parameters of PSR+3500 portable ground spectrometer

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      Table 1. Index parameters of PSR+3500 portable ground spectrometer

      ParameterValue
      Spectral range /nm350-2500
      Spectral resolution≤3 nm@700 nm; ≤8 nm@1500 nm;≤6 nm@2100 nm
      Sampling intervaloutput one data every 1 nm, a total of 2151 spectral channels
      Fastest scanning speed /ms100
      Wavelength repeatability /nm0.1
      Wavelength accuracy /nm±0.5
      Size /(cm×cm×cm)22×29×8
      Weight /kg3.2
    • Table 2. Reflectance of each band of reference spectrum

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      Table 2. Reflectance of each band of reference spectrum

      Wave bandBand 1Band 2Band 3Band 4
      Reflectance0.12630.14020.16530.2204
    • Table 3. Average solar irradiance of each band of GF-1satellite PMS2 sensor

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      Table 3. Average solar irradiance of each band of GF-1satellite PMS2 sensor

      GF-1 PMS2PanBand 1Band 2Band 3Band 4
      Eλ1363.571967.311822.161524.131067.82
    • Table 4. Average gray value of each band of uniform cement pavement obtained by cutting on image

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      Table 4. Average gray value of each band of uniform cement pavement obtained by cutting on image

      Wave bandBand 1Band 2Band 3Band 4
      Digital number(DN)225218187142
    • Table 5. Absolute scaling factor of each band of GF-1 PMS2

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      Table 5. Absolute scaling factor of each band of GF-1 PMS2

      BandPanBand 1Band 2Band 3Band 4
      Factor0.21470.24190.20470.20090.2058
    • Table 6. Spectral matching data list

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      Table 6. Spectral matching data list

      AODBand 1Band 2Band 3Band 4α /(°)
      0.050.11980.12440.14530.16800.0847
      0.100.11690.12260.14490.16920.0739
      0.150.11420.12010.14440.17020.0639
      0.200.11060.11730.14350.17120.0521
      0.250.10660.11370.14240.17220.0416
      0.300.10180.11030.14100.17290.0351
      0.350.09720.10620.13940.17360.0384
      0.400.09210.10180.13770.17410.0513
      0.450.08620.09720.13560.17470.0710
      0.500.08040.09220.13340.17510.0939
      0.550.07370.08650.13100.17560.1231
      0.600.06700.08090.12810.17590.1527
      0.650.05990.07450.12540.17620.1873
      0.700.05190.06780.12180.17640.2273
      0.750.04380.06110.11840.17640.2688
      0.800.03530.05360.11490.17660.3169
      0.850.02670.04560.11120.17680.3684
      0.900.01700.03770.10720.17660.4260
      0.950.00710.02870.10290.17670.4898
      1.000.00340.01970.09810.17650.5589
    • Table 7. Atmospheric correction parameters when AOD is 0.3

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      Table 7. Atmospheric correction parameters when AOD is 0.3

      Bandxaxbxc
      Band 10.00520.17690.1722
      Band 20.00530.12280.1368
      Band 30.00560.06690.0990
      Band 40.00720.03540.0676
    • Table 8. Average reflectance and dynamic range before and after atmospheric correction

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      Table 8. Average reflectance and dynamic range before and after atmospheric correction

      BandRemote sensing imageAverage reflectanceDynamic range [5%-95%]
      Band 1Before atmospheric correction0.15220.1256-0.1929
      After atmospheric correction0.07260.0321-0.1370
      Band 2Before atmospheric correction0.12680.0889-0.1759
      After atmospheric correction0.07370.0163-0.1495
      Band 3Before atmospheric correction0.12610.0795-0.1841
      After atmospheric correction0.10610.0395-0.1851
      Band 4Before atmospheric correction0.14970.0774-0.2116
      After atmospheric correction0.15000.0625-0.2254
    • Table 9. Error analysis for atmospheric calibration results and typical ground spectrum

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      Table 9. Error analysis for atmospheric calibration results and typical ground spectrum

      ClassParameterBlueGreenRedNear infrared
      TOA reflectance0.19560.19700.22010.2485
      Measured ground reflectance0.12790.16620.22290.2736
      Bare soilImage ground reflectance0.14140.17930.23170.2699
      Difference0.01350.01310.00880.0037
      SD0.02150.02010.01920.0165
      TOA reflectance0.13890.11730.08680.0636
      Measured ground reflectance0.05430.06290.06160.0518
      Water bodyImage ground reflectance0.05120.05940.05270.0439
      Difference0.00310.00350.00890.0079
      SD0.02220.02500.02340.0171
      TOA reflectance0.15530.13860.15720.2032
      Measured ground reflectance0.09190.10290.14290.2033
      Dry grassImage ground reflectance0.07750.09180.14800.2151
      Difference0.01440.01110.00510.0118
      SD0.02050.01890.02000.0215
      TOA reflectance0.16050.14040.13800.1732
      Measured ground reflectance0.10040.11130.13960.1802
      Cement pavementImage ground reflectance0.08590.09450.12220.1787
      Difference0.01450.01680.01740.0015
      SD0.02010.02520.02450.0251
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    Xinkai Hu, Hailiang Gao, Tianhai Cheng. Atmospheric Correction Method Based on Spectral Matching[J]. Acta Optica Sinica, 2019, 39(8): 0801003

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Mar. 4, 2019

    Accepted: Apr. 22, 2019

    Published Online: Aug. 7, 2019

    The Author Email: Gao Hailiang (gaohl@radi.ac.cn)

    DOI:10.3788/AOS201939.0801003

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