Multimode Structural Nonconvex Tensor Low-Rank Regularized Hyperspectral Image Destriping and Denoising

Pengfei Liu; Haijian Long; Kang Ni; Zhizhong Zheng

doi:10.1109/lgrs.2024.3383874

ScienceGate Book Chapters

JOURNAL ARTICLE

Multimode Structural Nonconvex Tensor Low-Rank Regularized Hyperspectral Image Destriping and Denoising

Pengfei Liu Haijian Long Kang Ni Zhizhong Zheng

Year: 2024 Journal: IEEE Geoscience and Remote Sensing Letters Vol: 21 Pages: 1-5 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/lgrs.2024.3383874

Get Full-Text PDF Get Analytical Report

Keywords:

Hyperspectral imaging Rank (graph theory) Tensor (intrinsic definition) Mathematics Pattern recognition (psychology) Artificial intelligence Image (mathematics) Computer science Noise reduction Algorithm Combinatorics Pure mathematics

Metrics

Cited By

2.65

FWCI (Field Weighted Citation Impact)

Refs

0.82

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Advanced Image Fusion Techniques

Physical Sciences → Engineering → Media Technology

Multimode Structural Nonconvex Tensor Low-Rank Regularized Hyperspectral Image Destriping and Denoising

Metrics

Citation History

Topics

Related Documents

Adaptive Regularized Low-Rank Tensor Decomposition for Hyperspectral Image Denoising and Destriping

Gradient Subspace-Regularized Hyperspectral Image and Stripe-Coupled Nonconvex Tensor Low-Rank Priors for Destriping and Denoising

Nonlocal Low-Rank Regularized Tensor Decomposition for Hyperspectral Image Denoising

Hyperspectral image denoising via global spatial-spectral total variation regularized nonconvex local low-rank tensor approximation

Hyperspectral Image Denoising Using Factor Group Sparsity-Regularized Nonconvex Low-Rank Approximation