Cluster-Wise Weighted NMF for Hyperspectral Images Unmixing with Imbalanced Data
Hyperspectral unmixing is an important technique for analyzing remote sensing images which aims to obtain a collection of endmembers and their corresponding abundances. In recent years, non-negative matrix factorization (NMF) has received extensive attention due to its good adaptability for mixed da...
Gardado en:
| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI AG
2021-01-01
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| Series: | Remote Sensing |
| Assuntos: | |
| Acceso en liña: | https://www.mdpi.com/2072-4292/13/2/268 |
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