Sangeeta Tarai, Swarna Laxmi Panda, Buddepu Santhosh Kumar, A. Sahoo, S. Maiti
{"title":"A Practical GPR Imaging Scheme for Buried Objects","authors":"Sangeeta Tarai, Swarna Laxmi Panda, Buddepu Santhosh Kumar, A. Sahoo, S. Maiti","doi":"10.1109/imarc49196.2021.9714681","DOIUrl":null,"url":null,"abstract":"Ground penetrating radar (GPR) is one of the most effective non-destructive method for detection and identification of buried objects. The key challenges for the imaging of the buried objects are the antenna cross talk and the presence of ground bounce. The GPR imaging is more difficult in complex ground scenario which is unpredictable. For imaging of subsurface objects, an efficient and reliable signal processing scheme is essential. Here we have implemented a complete imaging scheme for buried object detection. The important steps such as clutter removal, velocity analysis, migration techniques are implemented for imaging buried object. The effectiveness of the scheme is verified by processing synthetic data as well as laboratory measurements. The proposed approach can be effective for buried object detection.","PeriodicalId":226787,"journal":{"name":"2021 IEEE MTT-S International Microwave and RF Conference (IMARC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE MTT-S International Microwave and RF Conference (IMARC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/imarc49196.2021.9714681","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Ground penetrating radar (GPR) is one of the most effective non-destructive method for detection and identification of buried objects. The key challenges for the imaging of the buried objects are the antenna cross talk and the presence of ground bounce. The GPR imaging is more difficult in complex ground scenario which is unpredictable. For imaging of subsurface objects, an efficient and reliable signal processing scheme is essential. Here we have implemented a complete imaging scheme for buried object detection. The important steps such as clutter removal, velocity analysis, migration techniques are implemented for imaging buried object. The effectiveness of the scheme is verified by processing synthetic data as well as laboratory measurements. The proposed approach can be effective for buried object detection.