MFGC-Net: Bridging and Fusing Multiscale Features and Global Contexts for Multitask Sea Ice Fine Segmentation

Sea ice segmentation from synthetic aperture radar (SAR) imagery is a key task in polar sea ice monitoring, which is crucial for global climate prediction and polar route planning. However, the existing sea ice segmentation algorithms for SAR images often fail to consider long-range contextual depen...

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Detalhes bibliográficos

Principais autores:	Tianen Ma, Xinwei Chen, Linlin Xu, Pengfei Ma, Peilin Yu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Contextual information multiscale features multitask learning sea ice segmentation synthetic aperture radar (SAR)
Acesso em linha:	https://ieeexplore.ieee.org/document/10930574/
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