{"title":"同步压缩短傅里叶变换分析在探地雷达薄层识别中的应用","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":"{\"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}","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}
Application of Synchrosqueezing Short Fourier transform analysis in Ground Penetrating Radar thin layer Recognition
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.