Study of Antarctic Sea Ice Based on Shipborne Camera Images and Deep Learning Method

Sea ice parameters are crucial for polar ship design. During China’s 39th Antarctic Scientific Expedition, ice condition from the entire navigation process of the research vessel Xuelong 2 was recorded using shipborne cameras. To obtain sea ice parameters, two deep learning models, Ice-Deeplab and U...

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Autores principales:	Xiaodong Chen, Shaoping Guo, Qiguang Chen, Shunying Ji
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2025-08-01
Colección:	Remote Sensing
Materias:	polar ships Antarctica deep learning sea ice concentration sea ice thickness
Acceso en línea:	https://www.mdpi.com/2072-4292/17/15/2685
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