Chun An Tsai, R. Ghent, Alexander Boivin, D. Hickson
{"title":"Discrimination of dispersive materials from radar signals using Q*","authors":"Chun An Tsai, R. Ghent, Alexander Boivin, D. Hickson","doi":"10.26376/GPR2019002","DOIUrl":"https://doi.org/10.26376/GPR2019002","url":null,"abstract":"","PeriodicalId":134883,"journal":{"name":"Ground Penetrating Radar","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129107425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Real-time visualization of the data gathered by a reconfigurable stepped-frequency GPR system","authors":"Filippo Brigatti","doi":"10.26376/GPR2019003","DOIUrl":"https://doi.org/10.26376/GPR2019003","url":null,"abstract":"","PeriodicalId":134883,"journal":{"name":"Ground Penetrating Radar","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133789183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Pajewski, H. Tõnisson, K. Orviku, M. Govedarica, A. Ristic, V. Borecký, Salih Serkan Artagan, S. Fontul, K. Dimitriadis
{"title":"TU1208 GPR Roadshow: Educational and promotional activities carried out by Members of COST Action TU1208 to increase public awareness on the potential and capabilities of the GPR technique","authors":"L. Pajewski, H. Tõnisson, K. Orviku, M. Govedarica, A. Ristic, V. Borecký, Salih Serkan Artagan, S. Fontul, K. Dimitriadis","doi":"10.26376/GPR2019004","DOIUrl":"https://doi.org/10.26376/GPR2019004","url":null,"abstract":"Our participation in the COST (European Cooperation in Science and Technology) programme gave us significant insights into the importance of explaining scientific findings to non-scientific audiences. In the framework of COST Action TU1208 “Civil engineering applications of Ground Penetrating Radar” we organised a series of dissemination activities to increase public awareness about ground penetrating radar (GPR) capabilities and applications, as well as to establish a dialogue with stakeholders and end-users of our research. Most of our educational and promotional activities were carried out the Roadshow consisted of a series of non-scientific workshops and practical demonstrations held in Portugal, Italy, Greece, Croatia, Serbia, and the Czech Republic from March 2016 to May 2017. The primary objective of those events was to reach out to GPR stakeholders and potential new end users, at local, regional and national levels; a secondary goal was the education of interested students and citizens. Attendance was always free of charge; talks and explanations were mostly given in native language, with few exceptions. Overall, the Roadshow workshops and demonstrations had 483 participants. In parallel, an amazing series of activities with children and citizens were carried out in Estonia: several lectures were delivered in elementary and secondary schools, practical workshops were held during the Researchers’ Nights, communication activities were organized in large events where enterprises were brought together with researchers, some lectures were given in summer schools, and short lectures were transmitted on public TV. All these initiatives have strongly increased public awareness of the potentialities of the GPR technique.","PeriodicalId":134883,"journal":{"name":"Ground Penetrating Radar","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114712650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Influence of bark surface roughness on tree trunk radar inspection","authors":"J. Ježová, S. Lambot","doi":"10.26376/GPR2019001","DOIUrl":"https://doi.org/10.26376/GPR2019001","url":null,"abstract":"Microwave radar testing of tree trunks is one of the ways for the trunk interior evaluation. The interpretation of the radar images can be a very complex task among others due to the roughness of the tree bark. This paper studies the influence of a surface roughness on radar data of observed cylindrical objects, trees in particular. During our study, we did numerical simulations and laboratory measurements to compare radar data obtained by testing a cylinder with a smooth and an irregular surface. Then, several real trees with different surfaces and internal structures were tested to validate our findings. Those experiments indicate that the presence of a rough and irregular bark can significantly inhibit our ability to study the internal structure of the tree with the radar. On the other hand, if the bark is smooth, it is possible to infer the internal composition of the tree even for highly heterogeneous specimens.","PeriodicalId":134883,"journal":{"name":"Ground Penetrating Radar","volume":"761 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122996650","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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