A Hybrid Spectral Attention-Enabled Multiscale Spatial–Spectral Learning Network for Hyperspectral Image Superresolution-Reference-Cited by-同舟云学术

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A Hybrid Spectral Attention-Enabled Multiscale Spatial–Spectral Learning Network for Hyperspectral Image Superresolution

Published:2024 Issue: Volume:17 Page:11016-11033
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Wang Wenjing¹,Mu Tingkui¹^ORCID,Li Qiuxia¹,Li Haoyang¹,Yang Qiujie²^ORCID

Affiliation:

1. MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter, Research Center for Space Optics and Astronomy, School of Physics, Xi'an Jiaotong University, Xi'an, China

2. Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai, China

Funder

National Natural Science Foundation of China

Shaanxi Province Key Research and Development Program

Shaanxi Fundamental Science Research Project for Mathematics and Physics

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10543045.pdf?arnumber=10543045

Reference58 articles.

1. Hyperspectral Image Superresolution by Transfer Learning

2. An Efficient Clustering Method for Hyperspectral Optimal Band Selection via Shared Nearest Neighbor

3. Dual-modality endoscopic probe for tissue surface shape reconstruction and hyperspectral imaging enabled by deep neural networks

4. A Review of Advanced Technologies and Development for Hyperspectral-Based Plant Disease Detection in the Past Three Decades

5. Resolution Enhancement for Drill-Core Hyperspectral Mineral Mapping

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