Cross-range self-attention single hyperspectral image super-resolution method based on U-Net architecture

Abstract Hyperspectral image super-resolution (HSI-SR) aims to reconstruct high-resolution hyperspectral images from low-resolution inputs, which is particularly challenging due to the high dimensionality and complex spatial-spectral correlations inherent in hyperspectral data. While attention-based...

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Detalhes bibliográficos

Principais autores:	Haijun Wang, Wenli Zheng, Limei Huo, Kaibing Zhang, Tengfei Yang, Peiluan Li
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-12-01
coleção:	Scientific Reports
Assuntos:	Hyperspectral image super-resolution Cross-range spatial self-attention Cross-range spectral self-attention Deep learning
Acesso em linha:	https://doi.org/10.1038/s41598-025-27810-3
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