Random noise attenuation of ocean bottom seismometers based on a substep deep denoising autoencoder

Ocean bottom seismometer data usually contain a large amount of random noise, which seriously reduces the signal‐to‐noise ratio of the data and affects subsequent imaging. Hence, random noise attenuation is one of the most essential steps in ocean bottom seismometer data processing. In this paper, a...

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Bibliographic Details
Published in:	Geophysical Prospecting Vol. 72; no. 4; pp. 1428 - 1441
Main Authors:	Lin, Haoran, Xu, Jian, Xing, Lei, Li, Qianqian, Liu, Huaishan
Format:	Journal Article
Language:	English
Published:	Houten Wiley Subscription Services, Inc 01.05.2024
Subjects:	Attenuation Coders computing aspects Data analysis Data processing Datasets Noise Noise reduction Ocean bottom Ocean bottom seismometers Ocean floor Random noise Seismic data Seismographs Seismometers signal processing Spectrum analysis Supervised learning Unsupervised learning
ISSN:	0016-8025, 1365-2478
Online Access:	Get full text
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