Seismic Phase Picking
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arXiv
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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866909357602504704 |
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| author | Wang, Yuchen Wang, Ruihuan |
| author_facet | Wang, Yuchen Wang, Ruihuan |
| contents | Seismic phase picking, which aims to determine the arrival time of P- and S-waves according to seismic waveforms, is fundamental to earthquake monitoring. Generally, manual phase picking is trustworthy, but with the increasing number of worldwide stations and seismic monitors, it becomes more challenging for human to complete the task comprehensively. In this work, we explore multiple ways to do automatic phase picking, including traditional and learning-based methods. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_15907 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Seismic Phase Picking Wang, Yuchen Wang, Ruihuan Geophysics Computer Vision and Pattern Recognition Seismic phase picking, which aims to determine the arrival time of P- and S-waves according to seismic waveforms, is fundamental to earthquake monitoring. Generally, manual phase picking is trustworthy, but with the increasing number of worldwide stations and seismic monitors, it becomes more challenging for human to complete the task comprehensively. In this work, we explore multiple ways to do automatic phase picking, including traditional and learning-based methods. |
| title | Seismic Phase Picking |
| topic | Geophysics Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2410.15907 |