钢筋检测:MUSIC和压缩方法的比较

R. Solimene, A. Dell’Aversano, G. Leone
{"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}
引用次数: 0

摘要

钢筋的检测可以看作是在规定的探测范围内对稀疏分布的点状散射体进行定位的问题。本文对TR-MUSIC和压缩感知两种方法进行了比较。通过数值算例分析了噪声对数据的影响、数据稀疏性和相互耦合性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信