Should we have labels for deep learning ground roll attenuation?
Author:
Affiliation:
1. Xi’an Jiaotong University and University of Alberta
2. Xi’an Jiaotong University
3. University of Alberta
4. Daqing Oilfield Company Ltd.
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2020-3425692.1
Reference19 articles.
1. Distributed acoustic sensing coupling noise removal based on sparse optimization
2. Sparsity-optimized separation of body waves and ground-roll by constructing dictionaries using tunable Q-factor wavelet transforms with different Q-factors
3. Coherent and random noise attenuation via multichannel singular spectrum analysis in the randomized domain
4. Ground‐roll suppression using the wavelet transform
5. WIDE‐BAND VELOCITY FILTERING—THE PIE‐SLICE PROCESS
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