Dynamical Fusion Model With Joint Variational and Deep Priors for Hyperspectral Image Super-Resolution
Author:
Affiliation:
1. School of Science, Xihua University, Chengdu, China
2. University of Electronic Science and Technology of China, Chengdu, China
3. Institute of Methodologies for Environmental Analysis, Tito Scalo, CNR-IMAA, Italy
Funder
Natural Science Foundation of Sichuan Province
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10156889.pdf?arnumber=10156889
Reference43 articles.
1. Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion
2. Multispectral and hyperspectral image fusion with spatial-spectral sparse representation
3. The fusion of panchromatic and multispectral remote sensing images via tensor-based sparse modeling and hyper-Laplacian prior
4. VO+Net: An Adaptive Approach Using Variational Optimization and Deep Learning for Panchromatic Sharpening
5. Weighted Low-Rank Tensor Recovery for Hyperspectral Image Restoration
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