Eigen-CNN: Eigenimages Plus Eigennoise Level Maps Guided Network for Hyperspectral Image Denoising-Reference-Cited by-同舟云学术

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Eigen-CNN: Eigenimages Plus Eigennoise Level Maps Guided Network for Hyperspectral Image Denoising

Published:2024 Issue: Volume:62 Page:1-18
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhuang Lina¹^ORCID,Ng Michael K.²,Gao Lianru¹^ORCID,Wang Zhicheng³^ORCID

Affiliation:

1. Key Laboratory of Computational Optical Imaging Technology, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

2. Department of Mathematics, Hong Kong Baptist University, Hong Kong, China

3. Department of Earth Sciences and the Laboratory for Space Research, The University of Hong Kong, Hong Kong, China

Funder

National Natural Science Foundation of China

Hong Kong Research Grants Council (HKRGC) General Research Fund

HKRGC Collaborative Research Fund

Joint National Natural Science Foundation of China (NSFC) and RGC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10475370.pdf?arnumber=10475370

Reference75 articles.

1. Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

2. Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution

3. Hyperspectral Pansharpening With Deep Priors

4. Hyperspectral Images Super-Resolution via Learning High-Order Coupled Tensor Ring Representation

5. Deep Blind Hyperspectral Image Super-Resolution

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1. Robust and adaptive subspace learning for fast hyperspectral image denoising;Applied Intelligence;2024-08-20

2. Interactive Siamese spatial-Spectral cross-layer fusion transformer for hyperspectral image change detection;International Journal of Remote Sensing;2024-07-31

3. Transformer-inspired stacked-GAN for hyperspectral target detection;International Journal of Remote Sensing;2024-07-09

4. Hyperspectral Image Denoising Based on Deep and Total Variation Priors;Remote Sensing;2024-06-07

5. No-Reference Hyperspectral Image Quality Assessment via Ranking Feature Learning;Remote Sensing;2024-05-08

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