Hyperspectral Image Super-Resolution via Grouped Second-Order Spatial Features and Spectral Attention Network
Hyperspectral imaging (HSI) captures detailed spectral data across a wide range of wavelengths, making HSI invaluable for many computer vision applications. However, limitations of imaging systems result in low spatial resolution in HSI images. State-of-the-art research encounters challenges due to...
Saved in:
| Main Authors: | Allen Patnaik, M. K. Bhuyan, Sultan Alfarhood, Mejdl Safran |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11098921/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multiscale Spatial-Spectral CNN-Transformer Network for Hyperspectral Image Super-Resolution
by: Jiayang Zhang, et al.
Published: (2025-01-01) -
Hyperspectral Pansharpening Enhanced With Multi-Image Super-Resolution for PRISMA Data
by: Maciej Ziaja, et al.
Published: (2025-01-01) -
Unsupervised Spectral Super-Resolution Guided by Spectral Sampling Priors
by: Xintao Zhong, et al.
Published: (2025-01-01) -
CASSNet: Cross-Attention Enhanced Spectral–Spatial Interaction Network for Hyperspectral Image Super-Resolution
by: Zhanxu Zhang, et al.
Published: (2025-01-01) -
A Dual-Strategy Learning Framework for Hyperspectral Image Super-Resolution
by: Shuying Li, et al.
Published: (2025-01-01)