A Natural Images Pre-Trained Deep Learning Method for Seismic Random Noise Attenuation

A Natural Images Pre-Trained Deep Learning Method for Seismic Random Noise Attenuation

Seismic field data are usually contaminated by random or complex noise, which seriously affect the quality of seismic data contaminating seismic imaging and seismic interpretation. Improving the signal-to-noise ratio (SNR) of seismic data has always been a key step in seismic data processing. Deep l...

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Bibliographic Details
Main Authors: Haixia Zhao, Tingting Bai, Zhiqiang Wang
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
denoising
seismic data
deep learning
random noise
natural images
Online Access:https://www.mdpi.com/2072-4292/14/2/263

Internet

https://www.mdpi.com/2072-4292/14/2/263

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