| DOI | 10.1029/2020JB021444
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| Siamese Earthquake Transformer: A Pair-Input Deep-Learning Model for Earthquake Detection and Phase Picking on a Seismic Array |
| Xiao Z.; Wang J.; Liu C.; Li J.; Zhao L.; Yao Z.
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| 发表日期 | 2021
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| ISSN | 21699313
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| 卷号 | 126期号:5 |
| 英文摘要 | Earthquake detection and phase picking play a fundamental role in studying seismic hazards and the Earth’s interior. Many deep-learning-based methods, including the state-of-the-art model called Earthquake Transformer (EqT), have made considerable progress. However, the processing of low signal-to-noise ratio (SNR) seismograms remains a challenge. Here, we present a pair-input deep-learning model called Siamese Earthquake Transformer (S-EqT), which achieves good performance on low SNR seismograms using the latent information in the deep-learning black box of the pre-trained EqT model on a seismic array. We compare the EqT and S-EqT models on 2 weeks of continuous seismograms recorded by stations around northern Los Angeles region in California. In addition to showing a good performance similar to the EqT model on high SNR seismograms, the S-EqT model retrieves ∼40% more reliable picks from low SNR seismograms, resulting in better earthquake characterizations. Our method provides a novel perspective on earthquake monitoring by highlighting the importance of hidden responses inside a deep-learning model and shows its great potential for seismology. © 2021. American Geophysical Union. All Rights Reserved. |
| 英文关键词 | deep learning; earthquake detection; phase picking; Siamese network |
| 语种 | 英语
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| 来源期刊 | Journal of Geophysical Research: Solid Earth
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| 文献类型 | 期刊论文
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| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/187156
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| 作者单位 | Key Laboratory of Mineral Resources, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; Innovation Academy for Earth Science, Chinese Academy of Sciences, Beijing, China; Laboratory for Marine Mineral Resources, Qingdao National Laboratory of Marine Science and Technology, Qingdao, China; Key Laboratory of Earth and Planetary Physics, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Lithospheric Evolution, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, China
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推荐引用方式
GB/T 7714 |
Xiao Z.,Wang J.,Liu C.,et al. Siamese Earthquake Transformer: A Pair-Input Deep-Learning Model for Earthquake Detection and Phase Picking on a Seismic Array[J],2021,126(5).
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| APA |
Xiao Z.,Wang J.,Liu C.,Li J.,Zhao L.,&Yao Z..(2021).Siamese Earthquake Transformer: A Pair-Input Deep-Learning Model for Earthquake Detection and Phase Picking on a Seismic Array.Journal of Geophysical Research: Solid Earth,126(5).
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| MLA |
Xiao Z.,et al."Siamese Earthquake Transformer: A Pair-Input Deep-Learning Model for Earthquake Detection and Phase Picking on a Seismic Array".Journal of Geophysical Research: Solid Earth 126.5(2021).
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