Spacecraft Recovery & Remote Sensing, Volume. 46, Issue 4, 101(2025)

Data-Driven Atmospheric Corrections for Multi-Spectral Satellite Remote Sensing

Yutang YU1,2,3, Tao YU1,3, Donghai XIE4, Yu WU5, Lili ZHANG1,3、*, and Xin ZUO6
Author Affiliations
  • 1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • 3Demonstration Center for Spaceborne Remote Sensing, China National Space Administration, Beijing 100101, China
  • 4College of Resource Environment and Tourism, Capital Normal University, Beijing 100089, China
  • 5School of Earth System Science, Tianjin University, Tianjin 300072, China
  • 6Beijing Institute of Space Mechanics & Electricity, Beijing 100094, China
  • show less
    Figures & Tables(14)
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    [in Chinese]
    • Table 1. Sentinel-2A MSI sensor parameters

      View table
      View in Article

      Table 1. Sentinel-2A MSI sensor parameters

      波段中心波长/nm波宽/nm空间分辨率/m大气层顶太阳辐照度/(W·m−2·μm−1)
      波段1(B1)443.927601 884.69
      波段2(B2)496.698101 959.66
      波段3(B3)560.045101 823.24
      波段4(B4)664.538101 512.06
      波段5(B5)703.919201 424.64
      波段6(B6)740.218201 287.61
      波段7(B7)782.528201 162.08
      波段8(B8)835.1145101 041.63
      波段8A(B8A)864.83320955.32
      波段9(B9)945.02660812.92
      波段10(B10)1 373.57560367.15
      波段11(B11)1 613.714320245.59
      波段12(B12)2 202.42422085.25
    • Table 2. Look-up table structure of synthetic data

      View table
      View in Article

      Table 2. Look-up table structure of synthetic data

      大气和几何参数参数值
      太阳天顶角0°~60°,步长为10°
      卫星天顶角0°~60°,步长为10°
      相对方位角0°~180°,步长为30°
      大气模式中纬度夏季
      气溶胶模式6种
      气溶胶光学厚度(550 nm)0.05、0.1、0.25、0.5、1.0、1.5
      地表类型6种不同地物(包括4种不同植被、水体和不透水面)
    • Table 3. Model validating accuracy results

      View table
      View in Article

      Table 3. Model validating accuracy results

      波段MAER2MRE/%
      B10.000 5950.999 6511.23
      B20.000 3620.999 8610.67
      B30.000 2880.999 9040.36
      B40.000 4810.999 8520.40
      B50.000 3270.999 8950.31
      B60.000 5680.999 8750.29
      B70.000 3710.999 9560.22
      B80.000 4970.999 9380.22
      B8A0.000 4310.999 9470.24
      B110.000 4660.999 8950.37
      B120.000 5300.999 8980.48
    • Table 4. Comparison of the efficiency of different atmospheric correction methods at the pixel level

      View table
      View in Article

      Table 4. Comparison of the efficiency of different atmospheric correction methods at the pixel level

      大气校正方法耗时/s
      6S7.103
      Sen2Cor8.46×10−6
      本文方法5.69×10−6
    • Table 5. Comparsion of single image quality metrics for different images

      View table
      View in Article

      Table 5. Comparsion of single image quality metrics for different images

      影像ShH
      原始影像212.3735.110
      Sen2Cor校正459.6725.624
      DNN校正465.4735.517
    • Table 6. Relative image evaluation metrics of our method to Sen2Cor correction

      View table
      View in Article

      Table 6. Relative image evaluation metrics of our method to Sen2Cor correction

      波段MAEMSSIM
      B10.0130.913
      B20.0140.899
      B30.0160.872
      B40.0190.879
      B50.0200.840
      B60.0270.726
      B70.0290.744
      B80.0540.627
      B8A0.0300.754
      B110.0300.777
      B120.0320.816
    • Table 7. Statistical analysis of different atmospheric correction methods for different features

      View table
      View in Article

      Table 7. Statistical analysis of different atmospheric correction methods for different features

      典型地物指标回归方程绝对误差R2MRE/%
      不透水面6Sy=1.052x−0.0160.0230.87714.04
      Sen2Cory=1.114x−0.0250.0260.84917.40
      植被6Sy=1.073x−0.0220.0330.76920.36
      Sen2Cory=1.131x−0.0300.0350.73223.39
      耕地6Sy=0.966x−0.0030.0220.88714.33
      Sen2Cory=1.020x−0.0110.0240.86816.65
      水体6Sy=1.018x−0.0020.0300.80917.80
      Sen2Cory=1.077x−0.0100.0330.77119.94
    Tools

    Get Citation

    Copy Citation Text

    Yutang YU, Tao YU, Donghai XIE, Yu WU, Lili ZHANG, Xin ZUO. Data-Driven Atmospheric Corrections for Multi-Spectral Satellite Remote Sensing[J]. Spacecraft Recovery & Remote Sensing, 2025, 46(4): 101

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Remote Sensing Information Processing Technology

    Received: Nov. 20, 2024

    Accepted: --

    Published Online: Sep. 12, 2025

    The Author Email: Lili ZHANG (zhangll203913@aircas.ac.cn)

    DOI:10.3969/j.issn.1009-8518.2025.04.009

    Topics