Seismic signal enhancement based on the low‐rank methods

Author:

Bai Min12ORCID,Huang Guangtan1ORCID,Wang Hang1,Chen Yangkang1ORCID

Affiliation:

1. School of Earth Sciences Zhejiang University Hangzhou Zhejiang 310027 China

2. Key Laboratory of Exploration Technology for Oil and Gas Resources of Ministry of Education Yangtze University Wuhan Hubei 430100 China

Funder

Zhejiang University

National Natural Science Foundation of China

Publisher

Wiley

Subject

Geochemistry and Petrology,Geophysics

Reference55 articles.

1. Lateral prediction for noise attenuation by t-x and f-x techniques

2. Independent simultaneous source acquisition and processing

3. Singular‐spectrum analysis via optimal shrinkage of singular values;Aharchaou M.;SEG Technical Program, Expanded Abstracts,2017

4. Seismic random noise attenuation via 3D block matching;Amani S.;Journal of Applied Geophysics,2017

5. Local singular value decomposition for signal enhancement of seismic data

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1. An Adaptive Damped Rank-Reduction Method for 3D Seismic Data Denoising;2023 IEEE 11th Joint International Information Technology and Artificial Intelligence Conference (ITAIC);2023-12-08

2. Dictionary Learning for Single-Channel Passive Seismic Denoising;Seismological Research Letters;2023-09-28

3. Adaptive Damped Rank-Reduction Method for Random Noise Attenuation of Three-Dimensional Seismic Data;Surveys in Geophysics;2023-01-07

4. Structure-Oriented CUR Low-Rank Approximation for Random Noise Attenuation of Seismic Data;IEEE Transactions on Geoscience and Remote Sensing;2023

5. Improved Low-Rank Tensor Approximation for Seismic Random Plus Footprint Noise Suppression;IEEE Transactions on Geoscience and Remote Sensing;2023

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