A. Benedetto, F. Benedetto, M. D. Blasiis, G. Giunta
{"title":"用于道路监测和损伤检测的探地雷达信号处理","authors":"A. Benedetto, F. Benedetto, M. D. Blasiis, G. Giunta","doi":"10.1109/ISSPA.2003.1224706","DOIUrl":null,"url":null,"abstract":"Ground penetrating radar (GPR) signal processing is a nondestructive technique, particularly promising for soil characteristics interpretation. In fact, pavement damage is actually one of the most crucial problems in roads. A preliminary detection and a subsequent classification of the pavement damage, based on an automatic GPR analysis, have been performed and experimentally validated. An optimum detection procedure is performed. It implements the classical Neyman-Pearson radar test. All the settings needed by the procedure have been estimated from a training set of measures. The overall performance has been evaluated by looking at the usual receiver's operating curve. The results evidence that a reasonable performance has been achieved by a suited analysis of GPR images exploiting the spatio-temporal correlation properties of the received signal. Although a generalization is not reliable, this study shows that an automatic GPR-based evaluation of subgrade soil characteristics is feasible.","PeriodicalId":264814,"journal":{"name":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Ground penetrating radar signal processing for road monitoring and damage detection\",\"authors\":\"A. Benedetto, F. Benedetto, M. D. Blasiis, G. Giunta\",\"doi\":\"10.1109/ISSPA.2003.1224706\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ground penetrating radar (GPR) signal processing is a nondestructive technique, particularly promising for soil characteristics interpretation. In fact, pavement damage is actually one of the most crucial problems in roads. A preliminary detection and a subsequent classification of the pavement damage, based on an automatic GPR analysis, have been performed and experimentally validated. An optimum detection procedure is performed. It implements the classical Neyman-Pearson radar test. All the settings needed by the procedure have been estimated from a training set of measures. The overall performance has been evaluated by looking at the usual receiver's operating curve. The results evidence that a reasonable performance has been achieved by a suited analysis of GPR images exploiting the spatio-temporal correlation properties of the received signal. Although a generalization is not reliable, this study shows that an automatic GPR-based evaluation of subgrade soil characteristics is feasible.\",\"PeriodicalId\":264814,\"journal\":{\"name\":\"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPA.2003.1224706\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2003.1224706","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ground penetrating radar signal processing for road monitoring and damage detection
Ground penetrating radar (GPR) signal processing is a nondestructive technique, particularly promising for soil characteristics interpretation. In fact, pavement damage is actually one of the most crucial problems in roads. A preliminary detection and a subsequent classification of the pavement damage, based on an automatic GPR analysis, have been performed and experimentally validated. An optimum detection procedure is performed. It implements the classical Neyman-Pearson radar test. All the settings needed by the procedure have been estimated from a training set of measures. The overall performance has been evaluated by looking at the usual receiver's operating curve. The results evidence that a reasonable performance has been achieved by a suited analysis of GPR images exploiting the spatio-temporal correlation properties of the received signal. Although a generalization is not reliable, this study shows that an automatic GPR-based evaluation of subgrade soil characteristics is feasible.