CASSNet: Cross-Attention Enhanced Spectral–Spatial Interaction Network for Hyperspectral Image Super-Resolution

CASSNet: Cross-Attention Enhanced Spectral–Spatial Interaction Network for Hyperspectral Image Super-Resolution

Deep-learning-based super-resolution (SR) methods for a single hyperspectral image have made significant progress in recent years and become an important research direction in remote sensing. Existing methods perform well in extracting spatial features, but challenges remain in integrating spectral...

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Bibliographic Details
Main Authors: Zhanxu Zhang, Linzi Yang, Guanglian Zhang, Jiangwei Deng, Lifeng Bian, Chen Yang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
cross-attention mechanism
global context
hyperspectral image super-resolution (HSI-SR)
spectral–spatial interaction
Online Access:https://ieeexplore.ieee.org/document/10979241/
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