Deep learning for ground-roll noise attenuation
Author:
Affiliation:
1. RIPED–NWGI, PetroChina
Publisher
Society of Exploration Geophysicists
Link
https://library.seg.org/doi/pdf/10.1190/segam2018-2981295.1
Reference23 articles.
1. Brown, M., and R. G. Clapp, 2000, (t,x) domain, pattern-based ground roll removal: 70th Annual International Meeting, SEG, Expanded Abstracts, 2103–2106, 10.1190/1.1815861.
2. Claerbout, J. F., 1983, Ground roll and radial traces: Stanford Exploration Project Report, SEP-35, 43–53.
3. Ground‐roll suppression using the wavelet transform
4. Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique
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