A comparative study of data input selection for deep learning-based automated sea ice mapping
The precise monitoring of sea ice parameters, including sea ice concentration and stage of development, is imperative for tactical navigation. Recent studies have showcased the enhanced mapping accuracy achieved by incorporating multi-source auxiliary data, such as passive microwave data, with Synth...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Elsevier
2024-07-01
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| coleção: | International Journal of Applied Earth Observations and Geoinformation |
| Assuntos: | |
| Acesso em linha: | http://www.sciencedirect.com/science/article/pii/S1569843224002747 |
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