{"title":"钢筋检测:MUSIC和压缩方法的比较","authors":"R. Solimene, A. Dell’Aversano, G. Leone","doi":"10.1109/ICGPR.2014.6970515","DOIUrl":null,"url":null,"abstract":"Rebar detection can be cast as a the problem of localizing point-like scatterers sparsely enclosed within a prescribed investigation domain. Both TR-MUSIC and Compressed Sensing approaches can deal with it and are compared in this paper. The role of noise on data, data sparseness and mutual coupling are examined by numerical examples.","PeriodicalId":212710,"journal":{"name":"Proceedings of the 15th International Conference on Ground Penetrating Radar","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Rebar detection: Comparing MUSIC and COMPRESSED approaches\",\"authors\":\"R. Solimene, A. Dell’Aversano, G. Leone\",\"doi\":\"10.1109/ICGPR.2014.6970515\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rebar detection can be cast as a the problem of localizing point-like scatterers sparsely enclosed within a prescribed investigation domain. Both TR-MUSIC and Compressed Sensing approaches can deal with it and are compared in this paper. The role of noise on data, data sparseness and mutual coupling are examined by numerical examples.\",\"PeriodicalId\":212710,\"journal\":{\"name\":\"Proceedings of the 15th International Conference on Ground Penetrating Radar\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 15th International Conference on Ground Penetrating Radar\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICGPR.2014.6970515\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 15th International Conference on Ground Penetrating Radar","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICGPR.2014.6970515","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rebar detection: Comparing MUSIC and COMPRESSED approaches
Rebar detection can be cast as a the problem of localizing point-like scatterers sparsely enclosed within a prescribed investigation domain. Both TR-MUSIC and Compressed Sensing approaches can deal with it and are compared in this paper. The role of noise on data, data sparseness and mutual coupling are examined by numerical examples.