A seismic random noise suppression method based on CNN-Mamba

A seismic random noise suppression method based on CNN-Mamba

BackgroundSeismic random noise suppression is recognized as a key step to improve the quality of seismic data. Data-driven deep learning provides an intelligent solution for the noise suppression. However, mainstream random noise intelligent methods based on convolutional neural networks (CNNs) are...

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Bibliographic Details
Main Authors: Xiujuan WEI, Xingye LIU, Huailai ZHOU
Format: Article
Language:zho
Published: Editorial Office of Coal Geology & Exploration 2025-05-01
Series:Meitian dizhi yu kantan
Subjects:
seismic random noise suppression
deep learning
convolutional neural network (cnn)
state-space model (ssm)
mamba
Online Access:http://www.mtdzykt.com/article/doi/10.12363/issn.1001-1986.24.09.0601
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http://www.mtdzykt.com/article/doi/10.12363/issn.1001-1986.24.09.0601

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