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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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Jiayang Zhang, Hongjia Qu, Junhao Jia, Yaowei Li, Bo Jiang, Xiaoxuan Chen, Jinye Peng
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Hyperspectral image (HSI) self-attention super-resolution (SR) transformer
Online Access:	https://ieeexplore.ieee.org/document/10980410/