{"title":"用于地下成像雷达的实时TAM-BP成像算法","authors":"L. Wentai, Huang Chunlin, Su Yi","doi":"10.1109/ICU.2005.1570061","DOIUrl":null,"url":null,"abstract":"A real-time recursive time-delay and amplitude modified back projection (TAM-BP) imaging algorithm is presented in this paper. Real time imaging is an intense demand but a challenging task in subsurface imaging radar (SIR)'s application. Based on 'delay-sum' operation in time domain, TAM-BP imaging algorithm can precisely focus scattering intensity and obtain high quality subsurface profile. But its heavy computation load restricts its application in SIR's real-time processing. After analyzing TAM-BP imaging procedure, a recursive model of this imaging algorithm is established and real-time TAM-BP imaging algorithm is educed subsequently. The computation complexity of both non-real-time TAM-BP imaging algorithm and real-time TAM-BP imaging algorithm are compared with experimental data.","PeriodicalId":105819,"journal":{"name":"2005 IEEE International Conference on Ultra-Wideband","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A real-time TAM-BP imaging algorithm for subsurface imaging radar\",\"authors\":\"L. Wentai, Huang Chunlin, Su Yi\",\"doi\":\"10.1109/ICU.2005.1570061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A real-time recursive time-delay and amplitude modified back projection (TAM-BP) imaging algorithm is presented in this paper. Real time imaging is an intense demand but a challenging task in subsurface imaging radar (SIR)'s application. Based on 'delay-sum' operation in time domain, TAM-BP imaging algorithm can precisely focus scattering intensity and obtain high quality subsurface profile. But its heavy computation load restricts its application in SIR's real-time processing. After analyzing TAM-BP imaging procedure, a recursive model of this imaging algorithm is established and real-time TAM-BP imaging algorithm is educed subsequently. The computation complexity of both non-real-time TAM-BP imaging algorithm and real-time TAM-BP imaging algorithm are compared with experimental data.\",\"PeriodicalId\":105819,\"journal\":{\"name\":\"2005 IEEE International Conference on Ultra-Wideband\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-09-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2005 IEEE International Conference on Ultra-Wideband\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICU.2005.1570061\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2005 IEEE International Conference on Ultra-Wideband","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICU.2005.1570061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A real-time TAM-BP imaging algorithm for subsurface imaging radar
A real-time recursive time-delay and amplitude modified back projection (TAM-BP) imaging algorithm is presented in this paper. Real time imaging is an intense demand but a challenging task in subsurface imaging radar (SIR)'s application. Based on 'delay-sum' operation in time domain, TAM-BP imaging algorithm can precisely focus scattering intensity and obtain high quality subsurface profile. But its heavy computation load restricts its application in SIR's real-time processing. After analyzing TAM-BP imaging procedure, a recursive model of this imaging algorithm is established and real-time TAM-BP imaging algorithm is educed subsequently. The computation complexity of both non-real-time TAM-BP imaging algorithm and real-time TAM-BP imaging algorithm are compared with experimental data.