Seismic waveform classification and first-break picking using convolution neural networks

Yuan, S, Liu, J, Wang, S et al. (2 more authors) (2018) Seismic waveform classification and first-break picking using convolution neural networks. IEEE Geoscience and Remote Sensing Letters, 15 (2). pp. 272-276. ISSN 1545-598X

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Copyright, Publisher and Additional Information: © 2018 IEEE. This is an author produced version of a paper published in IEEE Geoscience and Remote Sensing Letters. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Uploaded in accordance with the publisher’s self-archiving policy.
Keywords: Waveform classification; first break (FB) picking; seismic data; convolutional neural networks (CNNs)
Dates:
  • Published: February 2018
  • Accepted: 18 December 2017
  • Published (online): 4 January 2018
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 08 Feb 2018 17:28
Last Modified: 20 Mar 2018 19:34
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: https://doi.org/10.1109/LGRS.2017.2785834

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