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Two-dimensional seismic data reconstruction using patch tensor completion

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成果类型:
期刊论文
作者:
Liu, Qun;Fu, Lihua*;Zhang, Meng;Zhang, Wanjuan
通讯作者:
Fu, Lihua
作者机构:
[Liu, Qun; Fu, Lihua; Zhang, Wanjuan] China Univ Geosci, Sch Math & Phys, Wuhan 430074, Peoples R China.
[Zhang, Meng] Cent China Normal Univ, Sch Comp, Wuhan 430079, Peoples R China.
通讯机构:
[Fu, Lihua] C
China Univ Geosci, Sch Math & Phys, Wuhan 430074, Peoples R China.
语种:
英文
关键词:
2D seismic data;patch tensor pre-transformation;low rank;tensor completion;reconstruction
期刊:
INVERSE PROBLEMS AND IMAGING
ISSN:
1930-8337
年:
2020
卷:
14
期:
6
页码:
985-1000
基金类别:
Acknowledgments. This study is financially supported by the National Key R&D Program of China (No.2018YFC1503705), Major Project of National Social Science Fund (No.18ZDA032), Science and technology research project of Hubei Provincial Department of Education (B2017597), Hubei subsurface Multi-scale Imaging Key Laboratory (China University of Geosciences) under grants (SMIL-2018-06) and the Fundamental Research Funds for the Central Universities under Grants CCNU19TS020. This study is financially supported by the National Key R&D Program of China (No.2018YFC1503705), Major Project of National Social Science Fund (No.18ZDA032), Science and technology research project of Hubei Provin-cial Department of Education (B2017597), Hubei subsurface Multi-scale Imaging Key Laboratory (China University of Geosciences) under grants (SMIL-2018-06) and the Fundamental Research Funds for the Central Universities under Grants CCNU19TS020.
机构署名:
本校为其他机构
院系归属:
计算机学院
摘要:
Seismic data are often undersampled owing to physical or financial limitations. However, complete and regularly sampled data are becoming increasingly critical in seismic processing. In this paper, we present an efficient two-dimensional (2D) seismic data reconstruction method that works on texture-based patches. It performs completion on a patch tensor, which folds texture-based patches into a tensor. Reconstruction is performed by reducing the rank using tensor completion algorithms. This approach differs from past methods, which proceed by unfolding matrices into columns and then applying c...

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