Multiscale Spatial-Spectral CNN-Transformer Network for Hyperspectral Image Super-Resolution

Remarkable strides have been made in super-resolution methods based on deep learning for hyperspectral images (HSIs), which are capable of enhancing the spatial resolution. However, these methods predominantly focus on capturing local features using convolutional neural networks (CNNs), neglecting t...

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Dades bibliogràfiques

Autors principals:	Jiayang Zhang, Hongjia Qu, Junhao Jia, Yaowei Li, Bo Jiang, Xiaoxuan Chen, Jinye Peng
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Matèries:	Hyperspectral image (HSI) self-attention super-resolution (SR) transformer
Accés en línia:	https://ieeexplore.ieee.org/document/10980410/
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