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Deep-learning-based information mining from ocean remote-sensing imagery.
Li, Xiaofeng; Liu, Bin; Zheng, Gang; Ren, Yibin; Zhang, Shuangshang; Liu, Yingjie; Gao, Le; Liu, Yuhai; Zhang, Bin; Wang, Fan.
Afiliación
  • Li X; Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
  • Liu B; College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China.
  • Zheng G; State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China.
  • Ren Y; Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
  • Zhang S; College of Oceanography, Hohai University, Nanjing 210098, China.
  • Liu Y; Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
  • Gao L; Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
  • Liu Y; Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
  • Zhang B; Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
  • Wang F; Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China.
Natl Sci Rev ; 7(10): 1584-1605, 2020 Oct.
Article en En | MEDLINE | ID: mdl-34691490
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Natl Sci Rev Año: 2020 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Natl Sci Rev Año: 2020 Tipo del documento: Article País de afiliación: China