Acta Optica Sinica, Volume. 38, Issue 12, 1228005(2018)

Threshold Optimization in Cloud Detection by Polarized Multichannel Remote Sensing

Wei Fang1,2、*, Yanli Qiao1, Dongying Zhang1、*, and Weining Yi1
Author Affiliations
  • 1 Key Laboratory of Optical Calibration and Characterization of Chinese Academy of Sciences, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2 University of Science and Technology of China, Hefei, Anhui 230026, China
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    Figures & Tables(7)
    Flow chart of cloud detection
    Histograms. (a) Separated two categories; (b) overlapped two categories
    Relationship of confidence factors in fuzzy areas of datasets. (a) F1; (b) F2
    Results of cloud detection. (a) POLDER method; (b) proposed method
    H5 dataset of cloud detection. (a) POLDER method; (b) proposed method
    • Table 1. Characteristics of POLDER load bands

      View table

      Table 1. Characteristics of POLDER load bands

      Wavelength /nmBandwidth /nmPolarizedFunction
      44313.5NoSea
      49016.5YesSea/aerosol/cloud
      56515.5NoSea
      67015.0YesLand/aerosol/cloud
      76311.0NoOxygen pressure of cloud
      76538.0NoOxygen pressure of cloud
      86533.5YesLand/aerosol/cloud
      91021.0NoStem inversion
      102017.0No
    • Table 2. Pixel numbers of categories for POLDER method and proposed method

      View table

      Table 2. Pixel numbers of categories for POLDER method and proposed method

      MethodClearCloudMixed
      POLDER method4414590
      Proposed method44643816
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    Wei Fang, Yanli Qiao, Dongying Zhang, Weining Yi. Threshold Optimization in Cloud Detection by Polarized Multichannel Remote Sensing[J]. Acta Optica Sinica, 2018, 38(12): 1228005

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Jun. 6, 2018

    Accepted: Aug. 5, 2018

    Published Online: May. 10, 2019

    The Author Email:

    DOI:10.3788/AOS201838.1228005

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