Subpixel-Aware Hyperspectral Image Classification Using ETAP-Guided Autoencoder and Vision Transformer Fusion
Hyperspectral image (HSI) classification remains a challenging task, especially due to the high spectral similarity among classes in the scene. Additionally, spatial variation exists within each class, leading to mixed pixels. To address these problems, the paper presents a subpixel-aware classifica...
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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2026-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/11568438/ |
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