Hyperspectral band selection based on deep learning: a review
Abstract Hyperspectral images, characterized by rich spatial and spectral information, have been increasingly applied across numerous fields. However, the high dimensionality inherent in hundreds of spectral bands results in the “curse of dimensionality,” significantly complicating data processing....
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2026-04-01
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| coleção: | Journal of King Saud University: Computer and Information Sciences |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44443-026-00786-4 |
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