Generating Paired Seismic Training Data with Cycle-Consistent Adversarial Networks

Deep-learning-based seismic data interpretation has received extensive attention and focus in recent years. Research has shown that training data play a key role in the process of intelligent seismic interpretation. At present, the main methods used to obtain training data are synthesizing seismic d...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Zheng Zhang, Zhe Yan, Jiankun Jing, Hanming Gu, Haiying Li
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Subjects:	generating paired seismic data generative adversarial networks seismic fault detection
Online Access:	https://www.mdpi.com/2072-4292/15/1/265