Yong Chen

Orcid: 0000-0002-5052-5919

Affiliations:
  • University of Electronic Science and Technology of China, School of Mathematical Sciences / Research Center for Image and Vision Computing, Chengdu, China


According to our database1, Yong Chen authored at least 28 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A guidable nonlocal low-rank approximation model for hyperspectral image denoising.
Signal Process., February, 2024

Hyperspectral Compressive Snapshot Reconstruction via Coupled Low-Rank Subspace Representation and Self-Supervised Deep Network.
IEEE Trans. Image Process., 2024

Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network.
IEEE Trans. Geosci. Remote. Sens., 2024

2022
Robust Thick Cloud Removal for Multitemporal Remote Sensing Images Using Coupled Tensor Factorization.
IEEE Trans. Geosci. Remote. Sens., 2022

Hyperspectral and Multispectral Image Fusion Using Factor Smoothed Tensor Ring Decomposition.
IEEE Trans. Geosci. Remote. Sens., 2022

Exploring Nonlocal Group Sparsity Under Transform Learning for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens., 2022

Hyperspectral Image Denoising Using Factor Group Sparsity-Regularized Nonconvex Low-Rank Approximation.
IEEE Trans. Geosci. Remote. Sens., 2022

Low-Rank Tensor Optimization With Nonlocal Plug-and-Play Regularizers for Snapshot Compressive Imaging.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

Hyperspectral super-resolution via coupled tensor ring factorization.
Pattern Recognit., 2022

Nonlocal-based tensor-average-rank minimization and tensor transform-sparsity for 3D image denoising.
Knowl. Based Syst., 2022

2021
Tensor Completion Via Collaborative Sparse and Low-Rank Transforms.
IEEE Trans. Computational Imaging, 2021

Nonlocal Block-Term Decomposition for Hyperspectral Image Mixed Noise Removal.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

T-Hy-Demosaicing: Hyperspectral Reconstruction Via Tensor Subspace Representation Under Orthogonal Transformation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A Variational Approach with Nonlocal Self-Similarity and Joint-Sparsity for Hyperspectral Image Super-Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

A Blind Cloud/Shadow Removal Strategy for Multi-Temporal Remote Sensing Images.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
Hyperspectral Image Compressive Sensing Reconstruction Using Subspace-Based Nonlocal Tensor Ring Decomposition.
IEEE Trans. Image Process., 2020

Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image.
IEEE Trans. Geosci. Remote. Sens., 2020

Nonlocal Tensor-Ring Decomposition for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens., 2020

Hyperspectral Image Restoration Using Weighted Group Sparsity-Regularized Low-Rank Tensor Decomposition.
IEEE Trans. Cybern., 2020

Remote sensing images destriping using unidirectional hybrid total variation and nonconvex low-rank regularization.
J. Comput. Appl. Math., 2020

2019
Remote Sensing Image Stripe Detecting and Destriping Using the Joint Sparsity Constraint with Iterative Support Detection.
Remote. Sens., 2019

A sheared low-rank model for oblique stripe removal.
Appl. Math. Comput., 2019

Total Variation Regularized Low-Rank Sparsity Decomposition for Blind Cloud and Cloud Shadow Removal from Multitemporal Imagery.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

Weighted Group Sparsity Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Restoration.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Destriping of Multispectral Remote Sensing Image Using Low-Rank Tensor Decomposition.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

2017
Stripe noise removal of remote sensing images by total variation regularization and group sparsity constraint.
Remote. Sens., 2017

Group sparsity based regularization model for remote sensing image stripe noise removal.
Neurocomputing, 2017

Stripe noise removal of remote sensing image with a directional l0 sparse model.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017


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