Saliency-Modulated Group Dynamic Attention for Hyperspectral Image Classification
Hyperspectral image classification (HSIC) remains challenging due to severe spectral redundancy, complex spatial–spectral dependencies, and the scarcity of labeled samples. While convolutional neural networks (CNNs)-based frameworks improve local feature extraction, they struggle to capture l...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2026-01-01
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| Colecção: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/11568465/ |
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