The Linearized Bregman Method for Frugal Full-waveform Inversion with Compressive Sensing and Sparsity-promoting-Reference-Cited by-同舟云学术

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The Linearized Bregman Method for Frugal Full-waveform Inversion with Compressive Sensing and Sparsity-promoting

Published:2017-12-05 Issue:3 Volume:175 Page:1085-1101
ISSN:0033-4553
Container-title:Pure and Applied Geophysics
language:en
Short-container-title:Pure Appl. Geophys.

Author:

Chai Xintao^ORCID,Tang Genyang,Peng Ronghua,Liu Shaoyong

Funder

National Natural Science Foundation of China

Hubei Subsurface Multi-scale Imaging Key Laboratory (China University of Geosciences) Program

Publisher

Springer Science and Business Media LLC

Subject

Geochemistry and Petrology,Geophysics

Link

http://link.springer.com/article/10.1007/s00024-017-1734-4/fulltext.html

Reference60 articles.

1. Aldawood, A., Hoteit, I., & Alkhalifah, T. (2014). The possibilities of compressed-sensing-based Kirchhoff prestack migration. Geophysics, 79, S113–S120.

2. Anagaw, A. Y., & Sacchi, M. D. (2014). Comparison of multifrequency selection strategies for simultaneous-source full-waveform inversion. Geophysics, 79, R165–R181.

3. Ben-Hadj-Ali, H., Operto, S., & Virieux, J. (2011). An efficient frequency-domain full waveform inversion method using simultaneous encoded sources. Geophysics, 76, R109–R124.

4. Berenger, J. (1994). A perfectly matched layer for the absorption of electromagnetic waves. Journal of Computational Physics, 114, 185–200.

5. Bregman, L. M. (1967). The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming. USSR Computational Mathematics and Mathematical Physics, 7, 200–217.

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