A Denoising Method for Seismic Data Based on SVD and Deep Learning
When reconstructing seismic data, the traditional singular value decomposition (SVD) denoising method has the challenge of difficult rank selection. Therefore, we propose a seismic data denoising method that combines SVD and deep learning. In this method, seismic data with different signal-to-noise...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-12-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/24/12840 |