Polarity-Constrained Dual-Cycle Generative Adversarial Networks for Irregularly Sampled Seismic Data Reconstruction-Reference-Cited by-同舟云学术

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Polarity-Constrained Dual-Cycle Generative Adversarial Networks for Irregularly Sampled Seismic Data Reconstruction

Published:2024 Issue: Volume:62 Page:1-10
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Naihao¹^ORCID,Liu Kang²,Wu Lukun²,Wu Hao³,Zhang Yijie¹^ORCID,Gao Jinghuai¹^ORCID

Affiliation:

1. School of Information and Communications Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China

2. School of Software Engineering, Xi’an Jiaotong University, Xi’an, Shaanxi, China

3. School of Earth Resources, China University of Geosciences, Wuhan, Hubei, China

Funder

Key Research and Development Projects of Shaanxi Province

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10552242.pdf?arnumber=10552242

Reference48 articles.

1. Reflection Seismic Interferometry via Higher-Order Cumulants to Solve Normal Moveout Stretch

2. Nonstretching normal-moveout correction using a dynamic time warping algorithm

3. Robust deep learning seismic inversion with a priori initial model constraint

4. Prestack seismic inversion using a Rytov-WKBJ approximation

5. Desert low-frequency noise suppression by using adaptive DnCNNs based on the determination of high-order statistic

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