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

Xiaofan Li; Shengqiang Wang; Xuan Weng; Deyong Sun; Hailong Zhang; Hongbo Jiao; Hanwei Liang

doi:10.3788/AOS202141.0201002

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 Wang^1、*, Xuan Weng¹, Deyong Sun¹, Hailong Zhang¹, Hongbo Jiao⁴, and Hanwei Liang^2,3

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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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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