Hybrid Pixel-Wise Registration Learning for Robust Fusion-Based Hyperspectral Image Super-Resolution-Reference-Cited by-同舟云学术

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Hybrid Pixel-Wise Registration Learning for Robust Fusion-Based Hyperspectral Image Super-Resolution

Published:2024 Issue: Volume:10 Page:915-927
ISSN:2333-9403
Container-title:IEEE Transactions on Computational Imaging
language:
Short-container-title:IEEE Trans. Comput. Imaging

Author:

Nie Jiangtao¹^ORCID,Wei Wei¹^ORCID,Zhang Lei¹^ORCID,Ding Chen²^ORCID,Zhang Yanning¹^ORCID

Affiliation:

1. Shaanxi Provincial Key Laboratory of Speech and Image Information Processing, School of Computer Science, Northwestern Polytechnical University, Xi'an, China

2. School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6745852/10398876/10543175.pdf?arnumber=10543175

Reference59 articles.

1. Fusion‐based spectral matching method for hyperspectral target detection

2. Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification

3. From Difference to Similarity: A Manifold Ranking-Based Hyperspectral Anomaly Detection Framework

4. Portability Study of an OpenCL Algorithm for Automatic Target Detection in Hyperspectral Images

5. An overview on spectral and spatial information fusion for hyperspectral image classification: Current trends and challenges;Imani,2020

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