{"title":"Two-Dimensional (2-D) Localization Method of Ground Vibration Source with Fiber-Optic Distributed Acoustic Sensors (DAS)","authors":"Yufeng Wang, Xinyu Liu, Yuwen Sun, Liang Liu, Yunlin Tu, Huijuan Wu, Yunjiang Rao","doi":"10.1364/ofs.2022.w4.23","DOIUrl":null,"url":null,"abstract":"2-D localization of ground vibration for DAS is realized by extracting the spatial attenuation feature and mapping its relationship with the radial distances by a deep learning network. Field tests prove its effectiveness.","PeriodicalId":265406,"journal":{"name":"27th International Conference on Optical Fiber Sensors","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"27th International Conference on Optical Fiber Sensors","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/ofs.2022.w4.23","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
2-D localization of ground vibration for DAS is realized by extracting the spatial attenuation feature and mapping its relationship with the radial distances by a deep learning network. Field tests prove its effectiveness.