Ziye Yu, Yuqi Cai, Weitao Wang, Yanru An, Lu Li, Yueyang Xia, Yunpeng Zhang
{"title":"PRIME-DP: Pre-trained Integrated Model for Earthquake Data Processing","authors":"Ziye Yu, Yuqi Cai, Weitao Wang, Yanru An, Lu Li, Yueyang Xia, Yunpeng Zhang","doi":"arxiv-2408.01919","DOIUrl":null,"url":null,"abstract":"We introduce a new seismic wave representation model called PRIME-DP, which\nstands for Pre-trained Integrated Model for Earthquake Data Processing. Unlike\nmost of the models, which are designed to specifically a singular problem,\nPRIME-DP is used for multi-task single station seismic waveform processing.\nPRIME-DP can be used to Pg/Sg/Pn/Sn phase picking, P polarization\nclassification. And can be fine-tunned to wide range of tasks, such as event\nclassification, without architecture modifications. PRIME-DP can achieve over\n85% recall on Pg and Sg phases, when picking continuous waveform and achieves\nover 80% accuracy in P polarization classification. By fine-tunning\nclassification decoder with NeiMeng dataset, PRIME-DP can achieve 95.1%\naccuracy on event.","PeriodicalId":501270,"journal":{"name":"arXiv - PHYS - Geophysics","volume":"48 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Geophysics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.01919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We introduce a new seismic wave representation model called PRIME-DP, which
stands for Pre-trained Integrated Model for Earthquake Data Processing. Unlike
most of the models, which are designed to specifically a singular problem,
PRIME-DP is used for multi-task single station seismic waveform processing.
PRIME-DP can be used to Pg/Sg/Pn/Sn phase picking, P polarization
classification. And can be fine-tunned to wide range of tasks, such as event
classification, without architecture modifications. PRIME-DP can achieve over
85% recall on Pg and Sg phases, when picking continuous waveform and achieves
over 80% accuracy in P polarization classification. By fine-tunning
classification decoder with NeiMeng dataset, PRIME-DP can achieve 95.1%
accuracy on event.