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A new deep learning approach based on bilateral semantic segmentation models for sustainable estuarine wetland ecosystem management.
Pham, Hanh Nguyen; Dang, Kinh Bac; Nguyen, Thanh Vinh; Tran, Ngoc Cuong; Ngo, Xuan Quy; Nguyen, Duc Anh; Phan, Thi Thanh Hai; Nguyen, Thu Thuy; Guo, Wenshan; Ngo, Huu Hao.
Afiliación
  • Pham HN; Nature and Biodiversity Conservation Agency, Vietnam Environment Administration, Ministry of Natural Resources and Environment, 10 Ton That Thuyet, Nam Tu Liem, Hanoi, Viet Nam.
  • Dang KB; VNU University of Science, Vietnam National University, 334 Nguyen Trai, Thanh Xuan, Hanoi, Viet Nam. Electronic address: dangkinhbac@hus.edu.vn.
  • Nguyen TV; Nature and Biodiversity Conservation Agency, Vietnam Environment Administration, Ministry of Natural Resources and Environment, 10 Ton That Thuyet, Nam Tu Liem, Hanoi, Viet Nam.
  • Tran NC; Nature and Biodiversity Conservation Agency, Vietnam Environment Administration, Ministry of Natural Resources and Environment, 10 Ton That Thuyet, Nam Tu Liem, Hanoi, Viet Nam.
  • Ngo XQ; Nature and Biodiversity Conservation Agency, Vietnam Environment Administration, Ministry of Natural Resources and Environment, 10 Ton That Thuyet, Nam Tu Liem, Hanoi, Viet Nam.
  • Nguyen DA; SKYMAP High Technology Co., Ltd., No.6, 40/2/1, Ta Quang Buu, Hai Ba Trung, Hanoi, Viet Nam.
  • Phan TTH; VNU University of Science, Vietnam National University, 334 Nguyen Trai, Thanh Xuan, Hanoi, Viet Nam.
  • Nguyen TT; Center for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.
  • Guo W; Center for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia.
  • Ngo HH; Center for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, NSW 2007, Australia. Electronic address: ngohuuhao121@gmail.com.
Sci Total Environ ; 838(Pt 1): 155826, 2022 Sep 10.
Article en En | MEDLINE | ID: mdl-35561903
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Humedales / Aprendizaje Profundo Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
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Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Humedales / Aprendizaje Profundo Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article Pais de publicación: Países Bajos