Multitemporal image cloud removal using group sparsity and nonconvex low-rank approximation

DOI10.23952/jnva.7.2023.4.05OpenAlexW4384575354MaRDI QIDQ6085629

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Publication date: 12 December 2023

Published in: Journal of Nonlinear and Variational Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.23952/jnva.7.2023.4.05

zbMATH Keywords

weighted nuclear normgroup sparsity regularizationmultitemporal image cloud removel

Mathematics Subject Classification ID

Operator theory (47-XX) Functional analysis (46-XX)

Cites Work

• Rician noise removal via weighted nuclear norm penalization
• Weighted nuclear norm minimization and its applications to low level vision
• Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization
• Nonlocal low-rank regularized two-phase approach for mixed noise removal
• A NONLOCAL LOW-RANK REGULARIZATION METHOD FOR FRACTAL IMAGE CODING
• Multiplicative Noise Removal: Nonlocal Low-Rank Model and Its Proximal Alternating Reweighted Minimization Algorithm
• Matrix completion via minimizing an approximate rank
• Nonconvex-Sparsity and Nonlocal-Smoothness-Based Blind Hyperspectral Unmixing
• $ \newcommand{\e}{{\rm e}} \ell_{0}$ -minimization methods for image restoration problems based on wavelet frames

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