T. Kingsuwannaphong, Christian Bräu, Stefan Rümmler, F. Rial, D. Heberling
{"title":"探地雷达轨道检测中真实铁路道砟FDTD仿真","authors":"T. Kingsuwannaphong, Christian Bräu, Stefan Rümmler, F. Rial, D. Heberling","doi":"10.1109/iwagpr50767.2021.9843175","DOIUrl":null,"url":null,"abstract":"This work presents an effective way to model realistic railway ballast conditions that can be incorporated in a FDTD EM solver for GPR applications. The results are compared with real measurements in controlled environments that try to replicate the models. Preliminary results look promising, and there is a valuable potential for its application in a wide range of topics related with this technology like: sensor design, acquisition methodologies, algorithm testing, machine learning approaches or inverse imaging.","PeriodicalId":170169,"journal":{"name":"2021 11th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Realistic Railway Ballast FDTD Simulations for Ground Penetrating Radar Railway Track Inspection\",\"authors\":\"T. Kingsuwannaphong, Christian Bräu, Stefan Rümmler, F. Rial, D. Heberling\",\"doi\":\"10.1109/iwagpr50767.2021.9843175\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work presents an effective way to model realistic railway ballast conditions that can be incorporated in a FDTD EM solver for GPR applications. The results are compared with real measurements in controlled environments that try to replicate the models. Preliminary results look promising, and there is a valuable potential for its application in a wide range of topics related with this technology like: sensor design, acquisition methodologies, algorithm testing, machine learning approaches or inverse imaging.\",\"PeriodicalId\":170169,\"journal\":{\"name\":\"2021 11th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 11th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iwagpr50767.2021.9843175\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 11th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iwagpr50767.2021.9843175","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This work presents an effective way to model realistic railway ballast conditions that can be incorporated in a FDTD EM solver for GPR applications. The results are compared with real measurements in controlled environments that try to replicate the models. Preliminary results look promising, and there is a valuable potential for its application in a wide range of topics related with this technology like: sensor design, acquisition methodologies, algorithm testing, machine learning approaches or inverse imaging.