SeismoGen: Seismic Waveform Synthesis Using GAN With Application to Seismic Data Augmentation-Reference-Cited by-同舟云学术

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SeismoGen: Seismic Waveform Synthesis Using GAN With Application to Seismic Data Augmentation

Published:2021-04 Issue:4 Volume:126 Page:
ISSN:2169-9313
Container-title:Journal of Geophysical Research: Solid Earth
language:en
Short-container-title:J Geophys Res Solid Earth

Author:

Wang Tiantong¹²,Trugman Daniel³^ORCID,Lin Youzuo¹^ORCID

Affiliation:

1. Geophysics Group Earth and Environment Science Division Los Alamos National Laboratory Los Alamos NM USA

2. School of Information Sciences University of Pittsburgh Pittsburgh PA USA

3. Jackson School of Geosciences The University of Texas at Austin Austin TX USA

Funder

Los Alamos National Laboratory

Laboratory Directed Research and Development

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2020JB020077

Reference62 articles.

1. Automatic earthquake recognition and timing from single traces

2. Machine learning for data-driven discovery in solid Earth geoscience

3. Using a deep neural network and transfer learning to bridge scales for seismic phase picking;Chai C.;Computer and Geosciences,2020

4. Chen L. Srivastava S. Duan Z. &Xu C.(2017).Deep cross‐modal audio‐visual generation. InPaper presented at the IEEE on Thematic Workshops of ACM Multimedia 2017(pp.349–357).

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