Nonconvex Tensor Completion for 5-D Seismic Data Reconstruction-Reference-Cited by-同舟云学术

Nonconvex Tensor Completion for 5-D Seismic Data Reconstruction

Published:2023 Issue: Volume:61 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhang Xuemin¹,Ma Jianwei²^ORCID,Yu Siwei¹^ORCID

Affiliation:

1. School of Mathematics, Institute of Artificial Intelligence, Harbin Institute of Technology, Harbin, China

2. School of Earth and Space Sciences, Institute of Artificial Intelligence, Peking University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10044717.pdf?arnumber=10044717

Reference32 articles.

1. Simultaneous reconstruction and denoising of extremely sparse 5-D seismic data by a simple and effective method;wang;IEEE Trans Geosci Remote Sens,2021

2. A fast reduced-rank interpolation method for prestack seismic volumes that depend on four spatial dimensions

3. Robust damped rank-reduction method for simultaneous denoising and reconstruction of 5D seismic data;innocent oboué;Geophysics,2021

4. Fast and Robust Low-Rank Approximation for Five-Dimensional Seismic Data Reconstruction

5. Alternating Direction Method with Gaussian Back Substitution for Separable Convex Programming

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