A New Method for Training CycleGAN to Enhance Images of Cold Seeps in the Qiongdongnan Sea.

Li, Yuanheng; Yang, Shengxiong; Gong, Yuehua; Cao, Jingya; Hu, Guang; Deng, Yutian; Tian, Dongmei; Zhou, Junming

Li, Yuanheng; Yang, Shengxiong; Gong, Yuehua; Cao, Jingya; Hu, Guang; Deng, Yutian; Tian, Dongmei; Zhou, Junming.

Afiliación

Li Y; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China.
Yang S; Ocean College and Institute of Ocean Research, Fujian Polytechnic Normal University, Fuzhou 350300, China.
Gong Y; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China.
Cao J; Guangzhou Marine Geological Survey, Guangzhou 510075, China.
Hu G; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China.
Deng Y; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China.
Tian D; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China.
Zhou J; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China.

Sensors (Basel) ; 23(3)2023 Feb 03.

Article en En | MEDLINE | ID: mdl-36772779

Palabras clave

CycleGAN; MSRCR; cold seeps; underwater image enhancement

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Suiza

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