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Acta Optica Sinica, Volume. 43, Issue 24, 2428009(2023)

An Improved Fmask Algorithm for Cloud Detection Applied to Hyperspectral Satellite

Shuning Zhang1,2,3, Hao Zhang4、*, Bing Zhang1,3, Zhenzhen Cui4,5, and Chenchao Xiao6
Author Affiliations
  • 1Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  • 2International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
  • 3College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
  • 4Airborne Remote Sensing Center, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
  • 5School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, Henan , China
  • 6Land Satellite Remote Sensing Application Center, MNR, Beijing 100048, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (8)
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    References (32)
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    Figures & Tables(8)
    Correlation coefficient comparison chart

    Fig. 1. Correlation coefficient comparison chart

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    Determination process of urban mask threshold

    Fig. 2. Determination process of urban mask threshold

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    Threshold change diagram of urban mask

    Fig. 3. Threshold change diagram of urban mask

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    Flow chart of cloud shadow recognition in modifield Fmask algorithm

    Fig. 4. Flow chart of cloud shadow recognition in modifield Fmask algorithm

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    Flow chart of modifield Fmask algorithm

    Fig. 5. Flow chart of modifield Fmask algorithm

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    Recognition results of 10-scene hyperspectral satellite original image and corresponding improved Fmask algorithm. (a) GF5-20190408; (b) GF5-20191003; (c) GF5-20191015; (d) GF5-20200120; (e) GF5-20200311; (f) GF5-20200311(2); (g) ZY02D-20210405; (h) ZY02D-20211003; (i) ZY02D-20191215; (j) ZY02D-20191215(2)

    Fig. 6. Recognition results of 10-scene hyperspectral satellite original image and corresponding improved Fmask algorithm. (a) GF5-20190408; (b) GF5-20191003; (c) GF5-20191015; (d) GF5-20200120; (e) GF5-20200311; (f) GF5-20200311(2); (g) ZY02D-20210405; (h) ZY02D-20211003; (i) ZY02D-20191215; (j) ZY02D-20191215(2)

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    Thermodynamic diagram results for comparative validation. (a) Overall accuracy thermodynamic diagram of cloud identification; (b) cloud identification producer accuracy thermodynamic diagram; (c) cloud identification user accuracy thermodynamic diagram; (d) cloud shadow recognition overall accuracy thermodynamic chart; (e) cloud shadow recognition producer accuracy thermodynamic chart; (f) cloud shadow recognition user accuracy thermodynamic chart

    Fig. 7. Thermodynamic diagram results for comparative validation. (a) Overall accuracy thermodynamic diagram of cloud identification; (b) cloud identification producer accuracy thermodynamic diagram; (c) cloud identification user accuracy thermodynamic diagram; (d) cloud shadow recognition overall accuracy thermodynamic chart; (e) cloud shadow recognition producer accuracy thermodynamic chart; (f) cloud shadow recognition user accuracy thermodynamic chart

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    • Table 1. Experimental image year table

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      Table 1. Experimental image year table

      Item2018201920202021All
      GF-5193013
      ZY-1 02D02237
      All1115320
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    Shuning Zhang, Hao Zhang, Bing Zhang, Zhenzhen Cui, Chenchao Xiao. An Improved Fmask Algorithm for Cloud Detection Applied to Hyperspectral Satellite[J]. Acta Optica Sinica, 2023, 43(24): 2428009

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Feb. 16, 2023

    Accepted: Apr. 24, 2023

    Published Online: Dec. 8, 2023

    The Author Email: Zhang Hao (zhanghao612@radi.ac.cn)

    DOI:10.3788/AOS230563

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology