{"title":"Application of Synchrosqueezing Short Fourier transform analysis in Ground Penetrating Radar thin layer Recognition","authors":"L. Qiao, Yao Qin","doi":"10.1109/ICGPR.2018.8441648","DOIUrl":null,"url":null,"abstract":"In order to meet the need of actual exploration, this paper makes a deep study of the thin layer's electromagnetic reflection properties. The Synchrosqueezing Short-Time Fourier Transform (SSTFT) is introduced into the thin layer identification. This method is highly adaptive to the given signal and makes the time-frequency plot more sharpen. Even the layer with the thickness of $\\lambda/8$, the SSTFT analysis method can still pick up the top and bottom of the layer. The experiment on the and real data show that the method improves the time-frequency resolution and the layer recognition ability of the Ground Penetrating Radar signal.","PeriodicalId":269482,"journal":{"name":"2018 17th International Conference on Ground Penetrating Radar (GPR)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 17th International Conference on Ground Penetrating Radar (GPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGPR.2018.8441648","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
In order to meet the need of actual exploration, this paper makes a deep study of the thin layer's electromagnetic reflection properties. The Synchrosqueezing Short-Time Fourier Transform (SSTFT) is introduced into the thin layer identification. This method is highly adaptive to the given signal and makes the time-frequency plot more sharpen. Even the layer with the thickness of $\lambda/8$, the SSTFT analysis method can still pick up the top and bottom of the layer. The experiment on the and real data show that the method improves the time-frequency resolution and the layer recognition ability of the Ground Penetrating Radar signal.