MLR-DBPFN: A Multi-Scale Low Rank Deep Back Projection Fusion Network for Anti-Noise Hyperspectral and Multispectral Image Fusion-Reference-Cited by-同舟云学术

MLR-DBPFN: A Multi-Scale Low Rank Deep Back Projection Fusion Network for Anti-Noise Hyperspectral and Multispectral Image Fusion

Published:2022 Issue: Volume:60 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Sun Weiwei¹^ORCID,Ren Kai¹,Meng Xiangchao²^ORCID,Yang Gang¹^ORCID,Xiao Chenchao³,Peng Jiangtao⁴^ORCID,Huang Jingfeng⁵^ORCID

Affiliation:

1. Department of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China

2. Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, China

3. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing, China

4. Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, China

5. Key Laboratory of Agricultural Remote Sensing and Information System, Institute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou, China

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Hubei Provincial Natural Science Foundation of China

Public Projects of Ningbo City

Fundamental Research Funds for the Provincial Universities of Zhejiang

Science and Technology Project for Department of Natural Resources of Zhejiang Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/9633014/09691361.pdf?arnumber=9691361

Reference45 articles.

1. Hyperspectral Image Denoising via Sparse Representation and Low-Rank Constraint

2. Spectral Nonlocal Restoration of Hyperspectral Images With Low-Rank Property

3. Deep Hyperspectral Image Sharpening

4. Noise-Resistant Wavelet-Based Bayesian Fusion of Multispectral and Hyperspectral Images

5. A Twice Optimizing Net With Matrix Decomposition for Hyperspectral and Multispectral Image Fusion

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