Crossline-direction reconstruction of multi-component seismic data with shearlet sparsity constraint-Reference-Cited by-同舟云学术

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Crossline-direction reconstruction of multi-component seismic data with shearlet sparsity constraint

Published:2018-06-07 Issue:5 Volume:15 Page:1929-1942
ISSN:1742-2132
Container-title:Journal of Geophysics and Engineering
language:en
Short-container-title:

Author:

Liu Chengming¹²,Wang Deli¹,Sun Jing¹,Wang Tiexing¹

Affiliation:

1. College of Geo Exploration Science and Technology, Jilin University, Changchun, 130026, People’s Republic of China

2. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, People’s Republic of China

Funder

National Natural Science Foundation of China

Major Projects of the National Science and Technology of China

Graduate Innovation Fund of Jilin University

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,Geology,Geophysics

Link

http://iopscience.iop.org/article/10.1088/1742-2140/aac097/pdf

Reference27 articles.

1. New tight frames of curvelets and optimal representations of objects with piecewise C2 singularities;Candès;Comm. Pure Appl. Math.,2004

2. Signal recovery from random projections;Candès;Proc. SPIE,2005

3. An introduction to compressive sampling;Candès;IEEE Signal Process. Mag.,2008

4. Regularizing 3D data sets with DMO;Canning;Geophysics,2012

5. Handling the irregular geometry in wide-azimuth surveys;Chemingui,1996

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1. Reconstruction and denoising of high-dimensional seismic data via Frobenius-nuclear mixed norm constraints;Journal of Geophysics and Engineering;2024-07-10

2. Three-dimensional seismic data reconstruction via partial sum of tensor nuclear norm minimization;Journal of Geophysics and Engineering;2023-02-28

3. Robust high-dimensional seismic data interpolation based on elastic half norm regularization and tensor dictionary learning;GEOPHYSICS;2021-08-31

4. SH-CNN: Shearlet Convolutional Neural Network for Gender Classification;Advances in Science, Technology and Engineering Systems Journal;2020-12

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