Data-driven multichannel seismic impedance inversion with anisotropic total variation regularization

DOI10.1515/jiip-2017-0024zbMath1386.86019OpenAlexW2757989670MaRDI QIDQ1746501

Dehua Wang, Hongan Zhou, Jing-Huai Gao

Publication date: 25 April 2018

Published in: Journal of Inverse and Ill-Posed Problems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1515/jiip-2017-0024

zbMATH Keywords

regularizationsplit Bregman iterationdata-drivenmultichannelseismic impedance inversion

Mathematics Subject Classification ID

Related Items (1)

Multichannel impedance inversion in the frequency domain via anisotropic total variation with overlapping group sparsity regularization

Cites Work

• Unnamed Item
• Nonlinear total variation based noise removal algorithms
• Anisotropic total variation regularized \(L^1\) approximation and denoising/deblurring of 2D bar codes
• Iterative algorithms for total variation-like reconstructions in seismic tomography
• Fast 3D Blind Seismic Deconvolution via Constrained Total Variation and GCV
• Seismic impedance inversion using l ₁-norm regularization and gradient descent methods
• The Split Bregman Method for L1-Regularized Problems
• Definitions and examples of inverse and ill-posed problems
• Decomposition of images by the anisotropic Rudin-Osher-Fatemi model

This page was built for publication: Data-driven multichannel seismic impedance inversion with anisotropic total variation regularization