Acta Optica Sinica, Volume. 41, Issue 2, 0201002(2021)

Remote Sensing of Floating Macroalgae Blooms in the East China Sea Based on UNet Deep Learning Model

Xiaofan Li1, Shengqiang Wang1、*, Xuan Weng1, Deyong Sun1, Hailong Zhang1, Hongbo Jiao4, and Hanwei Liang2,3
Author Affiliations
  • 1School of Marine Sciences, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, China;
  • 2Key Laboratory of Coastal Zone Exploitation and Protection, Ministry of Natural Resources, Nanjing, Jiangsu 210024, China
  • 3School of Geographic Sciences, Nanjing University of Information Science & Technology, Nanjing, Jiangsu 210044, China;
  • 4National Marine Data and Information Service, Tianjin 300171, China
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    References(25)

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    [8] Huete A[2020-07-20]. Justice C, van Leeuwen W. MODIS vegetation index (MOD13)[2020-07-20]. https:∥www.mendeley.com/catalogue/edc791aa-0330-381b-8400-6a70c358af12/..

    [10] Qi L, Hu C M, Wang M Q et al. Floating algae blooms in the East China sea[J]. Geophysical Research Letters, 44, 11501-11509(2017).

    [11] Yu J, Huang H H, Shu L M et al. Sargassum extraction using remote sensing technology[J]. Remote Sensing Information, 28, 93-100, 105(2013).

    [20] Ghosh A, Ehrlich M, Shah S et al. Stacked U-nets for ground material segmentation in remote sensing imagery[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 18-22, 2018, Salt Lake City, UT, 18347270(2018).

    [22] Iglovikov V. -02-17)[ 2020-07-20]. https:∥arxiv., org/abs/1801, 05746(2018).

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    Xiaofan Li, Shengqiang Wang, Xuan Weng, Deyong Sun, Hailong Zhang, Hongbo Jiao, Hanwei Liang. Remote Sensing of Floating Macroalgae Blooms in the East China Sea Based on UNet Deep Learning Model[J]. Acta Optica Sinica, 2021, 41(2): 0201002

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    Paper Information

    Category: Atmospheric Optics and Oceanic Optics

    Received: Jul. 20, 2020

    Accepted: Aug. 28, 2020

    Published Online: Feb. 27, 2021

    The Author Email: Wang Shengqiang (shengqiang.wang@nuist.edu.cn)

    DOI:10.3788/AOS202141.0201002

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