Multispectral and Hyperspectral Image Fusion Via Joint Low-Rank and Smooth Tensor Prior-Reference-Cited by-同舟云学术

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Multispectral and Hyperspectral Image Fusion Via Joint Low-Rank and Smooth Tensor Prior

Published:2024-07-07 Issue: Volume: Page:9298-9301
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Li Fan¹,Deng Yong²,Zhang Shaoquan³,Liang Yuyun¹,Wang Hong⁴,Deng Chengzhi³,Li Jun¹

Affiliation:

1. China University of Geosciences,Hubei Key Laboratory of Intelligent Geo-Information Processing,School of Computer Science,Wuhan,China,430074

2. Changjiang Institute of Survey, Planning, Design and Research,Wuhan,China,430010

3. Nanchang Institute of Technology,Jiangxi Province Key Laboratory of Water Information Cooperative Sensing and Intelligent Processing,School of Information Engineering,Nanchang,China,330099

4. Propell AI,TidBit Global,Norway

Funder

National Natural Science Foundation of China

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10641088.pdf?arnumber=10641088

Reference11 articles.

1. Recent advances and new guidelines on hyperspectral and multispectral image fusion

2. A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization

3. Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization

4. Spatial–Spectral-Graph-Regularized Low-Rank Tensor Decomposition for Multispectral and Hyperspectral Image Fusion

5. Learning the external and internal priors for multispectral and hyperspectral image fusion

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