PRIME-DP: Pre-trained Integrated Model for Earthquake Data Processing
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arXiv
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| Auteurs principaux: | , , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866916919692492800 |
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| author | Yu, Ziye Cai, Yuqi Wang, Weitao An, Yanru Li, Lu Xia, Yueyang Zhang, Yunpeng |
| author_facet | Yu, Ziye Cai, Yuqi Wang, Weitao An, Yanru Li, Lu Xia, Yueyang Zhang, Yunpeng |
| contents | We propose a novel seismic wave representation model, namely PRIME-DP (Pre-trained Integrated Model for Earthquake Data Processing), specifically designed for processing seismic waveforms. Most existing models are designed to solve a singular problem. Unlike these models, PRIME-DP is capable of multi-task single station seismic waveform processing, including Pg/Sg/Pn/Sn phase picking and P polarization classification. Moreover, it can be fine-tunned to various tasks, such as event classification without architecture modifications. PRIME-DP can achieve a recall rate of over 85% for Pg and Sg phases on continuous waveforms and achieves over 80% accuracy in P polarization classification. By fine-tuning classification decoder with NeiMeng dataset, PRIME-DP achieves 95.1% accuracy on event. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_01919 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | PRIME-DP: Pre-trained Integrated Model for Earthquake Data Processing Yu, Ziye Cai, Yuqi Wang, Weitao An, Yanru Li, Lu Xia, Yueyang Zhang, Yunpeng Geophysics We propose a novel seismic wave representation model, namely PRIME-DP (Pre-trained Integrated Model for Earthquake Data Processing), specifically designed for processing seismic waveforms. Most existing models are designed to solve a singular problem. Unlike these models, PRIME-DP is capable of multi-task single station seismic waveform processing, including Pg/Sg/Pn/Sn phase picking and P polarization classification. Moreover, it can be fine-tunned to various tasks, such as event classification without architecture modifications. PRIME-DP can achieve a recall rate of over 85% for Pg and Sg phases on continuous waveforms and achieves over 80% accuracy in P polarization classification. By fine-tuning classification decoder with NeiMeng dataset, PRIME-DP achieves 95.1% accuracy on event. |
| title | PRIME-DP: Pre-trained Integrated Model for Earthquake Data Processing |
| topic | Geophysics |
| url | https://arxiv.org/abs/2408.01919 |