Fusing Ice Surface Temperature With the AI4Arctic Dataset for Improved Deep Learning-Based Sea Ice Mapping

Arctic sea ice mapping is vital for supporting marine navigation, climate monitoring, and efforts by northern communities to adapt to variable ice conditions. Automated mapping approaches can leverage freely accessible satellite data to supplement navigational ice charts, improve operational forecas...

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Detalhes bibliográficos

Principais autores:	Lily de Loe, David A. Clausi, K. Andrea Scott
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Data fusion deep learning microwave data synthetic aperture radar (SAR) sea ice thermal data
Acesso em linha:	https://ieeexplore.ieee.org/document/11165056/
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