Unsupervised VSP Up- and Downgoing Wavefield Separation via Dual Convolutional Autoencoders-Reference-Cited by-同舟云学术

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Unsupervised VSP Up- and Downgoing Wavefield Separation via Dual Convolutional Autoencoders

Published:2024 Issue: Volume:62 Page:1-15
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Lu Cai¹^ORCID,Mu Zuochen¹^ORCID,Zong Jingjing²^ORCID,Wang Tengyu³

Affiliation:

1. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China

2. School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu, China

3. Tarim Oilfield Exploration and Development Research Institute, China National Petroleum Corporation, Korla, China

Funder

National Natural Science Foundation of China

China Postdoctoral 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/ielx7/36/10354519/10329941.pdf?arnumber=10329941

Reference52 articles.

1. Robust Separation of Reflection from Multiple Images

2. Unsupervised Audio Source Separation Using Generative Priors

3. Vertical Seismic Profile Wavefield Separation Using Median Filtering Constrained by the Linear Radon Transform

4. Separation of up-going and down-going wave fields of vertical cable data

5. Data- and model-domain up/down wave separation for reverse-time migration with free-surface multiples

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