Pongsathorn Chomdee, A. Boonpoonga, T. Lertwiriyaprapa
{"title":"杂波去除技术在铁路埋地目标检测中的应用研究","authors":"Pongsathorn Chomdee, A. Boonpoonga, T. Lertwiriyaprapa","doi":"10.1109/RI2C51727.2021.9559774","DOIUrl":null,"url":null,"abstract":"This paper presents the study on the ground penetrating radar (GPR) based-detection of an object buried under the railway. The object is presented as an improvised explosive device (IED) often occurred in the south Thailand. A clutter removal technique is applied to the GPR system in order to mitigate the effect of the clutter due to the rocks resulting to the inhomogeneous ground under the railway. Several simulations were conducted by using gprMax in order to investigate the performance of the GPR based-detection in term of the B-scan image. Simulations were setup as practical situations of the terrorism burying the IED under the railway. In simulations, the inhomogeneous ground under the railway was modelled by using a method of random sequential adsorption (RSA). Simulations were divided into several categories i.e. cases with and without the railway, non-homogeneous soil case, and homogeneous soil case. The simulations results show that the railway and non-homogeneous soil directly affect to degradation of the parabolic curve in the B-scan GPR image. The clutter removal was performed by subtracting the results of simulations with railway and non-homogeneous soil from those of simulations without railway and homogeneous soil. After performing the clutter removal, the results validate the improvement of the parabolic curve in the B-scan GPR image.","PeriodicalId":422981,"journal":{"name":"2021 Research, Invention, and Innovation Congress: Innovation Electricals and Electronics (RI2C)","volume":"08 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on the Detection of Object Buried under Railway by using Clutter Removal Technique\",\"authors\":\"Pongsathorn Chomdee, A. Boonpoonga, T. Lertwiriyaprapa\",\"doi\":\"10.1109/RI2C51727.2021.9559774\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the study on the ground penetrating radar (GPR) based-detection of an object buried under the railway. The object is presented as an improvised explosive device (IED) often occurred in the south Thailand. A clutter removal technique is applied to the GPR system in order to mitigate the effect of the clutter due to the rocks resulting to the inhomogeneous ground under the railway. Several simulations were conducted by using gprMax in order to investigate the performance of the GPR based-detection in term of the B-scan image. Simulations were setup as practical situations of the terrorism burying the IED under the railway. In simulations, the inhomogeneous ground under the railway was modelled by using a method of random sequential adsorption (RSA). Simulations were divided into several categories i.e. cases with and without the railway, non-homogeneous soil case, and homogeneous soil case. The simulations results show that the railway and non-homogeneous soil directly affect to degradation of the parabolic curve in the B-scan GPR image. The clutter removal was performed by subtracting the results of simulations with railway and non-homogeneous soil from those of simulations without railway and homogeneous soil. After performing the clutter removal, the results validate the improvement of the parabolic curve in the B-scan GPR image.\",\"PeriodicalId\":422981,\"journal\":{\"name\":\"2021 Research, Invention, and Innovation Congress: Innovation Electricals and Electronics (RI2C)\",\"volume\":\"08 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 Research, Invention, and Innovation Congress: Innovation Electricals and Electronics (RI2C)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RI2C51727.2021.9559774\",\"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 Research, Invention, and Innovation Congress: Innovation Electricals and Electronics (RI2C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RI2C51727.2021.9559774","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study on the Detection of Object Buried under Railway by using Clutter Removal Technique
This paper presents the study on the ground penetrating radar (GPR) based-detection of an object buried under the railway. The object is presented as an improvised explosive device (IED) often occurred in the south Thailand. A clutter removal technique is applied to the GPR system in order to mitigate the effect of the clutter due to the rocks resulting to the inhomogeneous ground under the railway. Several simulations were conducted by using gprMax in order to investigate the performance of the GPR based-detection in term of the B-scan image. Simulations were setup as practical situations of the terrorism burying the IED under the railway. In simulations, the inhomogeneous ground under the railway was modelled by using a method of random sequential adsorption (RSA). Simulations were divided into several categories i.e. cases with and without the railway, non-homogeneous soil case, and homogeneous soil case. The simulations results show that the railway and non-homogeneous soil directly affect to degradation of the parabolic curve in the B-scan GPR image. The clutter removal was performed by subtracting the results of simulations with railway and non-homogeneous soil from those of simulations without railway and homogeneous soil. After performing the clutter removal, the results validate the improvement of the parabolic curve in the B-scan GPR image.