Acta Optica Sinica, Volume. 38, Issue 1, 0128005(2018)

Cloud Detection of ZY-3 Satellite Remote Sensing Images Based on Deep Learning

Yang Chen1、*, Rongshuang Fan2, Jingxue Wang1, Wanyun Lu3, Hong Zhu4, and Qingyuan Chu2
Author Affiliations
  • 1 School of Geomatics, Liaoning Technical University, Fuxin, Liaoning 123000, China
  • 2 National Engineering Research Center of Surveying and Mapping, Beijing 100039, China
  • 3 Geographic and Oceanographic Sciences, Nanjing University, Nanjing, Jiangsu 210023, China
  • 4 Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation, Beijing 100048, China
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    Figures & Tables(6)
    Schematic of convolution neural network structure
    Different pooling areas. (a) A feature mapping; (b) other feature mapping
    Flowchart of the proposed cloud detection method
    ZY-3 original remote sensing images. (a) Multi-spectral image; (b) panchromatic image
    Comparison of cloud detection results between proposed method and Otsu method. (a) Proposed method, multi-spectral image; (b) Ostu method, multi-spectral image; (c) proposed method, panchromatic image; (d) Ostu method, panchromatic image
    • Table 1. Parameters of different cloud detection methods

      View table

      Table 1. Parameters of different cloud detection methods

      Detection methodOAKappa coefficient
      Multi-spectral imagePanchromatic imageMulti-spectral imagePanchromatic image
      Proposed method0.9884510.9901230.934512-
      Otsu method0.9346190.9041210.731812-
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    Yang Chen, Rongshuang Fan, Jingxue Wang, Wanyun Lu, Hong Zhu, Qingyuan Chu. Cloud Detection of ZY-3 Satellite Remote Sensing Images Based on Deep Learning[J]. Acta Optica Sinica, 2018, 38(1): 0128005

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    Paper Information

    Category: Remote Sensing and Sensors

    Received: Aug. 15, 2017

    Accepted: --

    Published Online: Aug. 31, 2018

    The Author Email: Chen Yang (874153187@qq.com)

    DOI:10.3788/AOS201838.0128005

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