Ground Roll Attenuation in Seismic Data Based on Enhanced Deep Learning Framework With Adaptive Frequency Modulation Loss-Reference-Cited by-同舟云学术

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Ground Roll Attenuation in Seismic Data Based on Enhanced Deep Learning Framework With Adaptive Frequency Modulation Loss

Published:2024 Issue: Volume:62 Page:1-16
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Sun Siyu¹,Li Hao²,Li Guofa¹^ORCID,Wang Zhewu³

Affiliation:

1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing, China

2. Yangtze Delta Research Institute, University of Electronic Science and Technology of China, Huzhou, Zhejiang, China

3. Dagang Branch, Research Institute, Tianjin, BGP, China

Funder

Fundamental Research Project of China National Petroleum Corporation (CNPC) Geophysical Key Laboratory

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10596320.pdf?arnumber=10596320

Reference45 articles.

1. Ground roll and radial traces;Claerbout,1935

2. A method of ground‐roll elimination

3. Ground roll: Rejection using polarization filters

4. Ground-Roll Noise Attenuation Using a Simple and Effective Approach Based on Local Band-Limited Orthogonalization

5. Ground roll attenuation using non-stationary matching filtering

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