One-Dimensional Dictionary Learning With Variational Sparse Representation for Single-Channel Seismic Denoising-Reference-Cited by-同舟云学术

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One-Dimensional Dictionary Learning With Variational Sparse Representation for Single-Channel Seismic Denoising

Published:2024 Issue: Volume:62 Page:1-13
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Cui Yang¹^ORCID,Bai Min¹^ORCID,Zhou Zixiang¹^ORCID,Chen Yangkang²^ORCID

Affiliation:

1. Key Laboratory of Exploration Technologies for Oil and Gas Resources of Ministry of Education and the College of Geophysics and Petroleum Resources, Yangtze University, Wuhan, China

2. Bureau of Economic Geology, John A. and Katherine G. Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, USA

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province

Open Fund of Key Laboratory of Exploration Technologies for Oil and Gas Resources

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10530032.pdf?arnumber=10530032

Reference49 articles.

1. Oriented pre-stack inverse Q filtering for resolution enhancements of seismic data

2. Unsupervised Deep Learning for Single-Channel Earthquake Data Denoising and Its Applications in Event Detection and Fully Automatic Location

3. Unsupervised 3-D Random Noise Attenuation Using Deep Skip Autoencoder

4. Nonstationary phase-corrected full-waveform inversion with attenuation compensation in viscoacoustic medium

5. Warped mapping–based blind deconvolution for resolution improvement

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