{"title":"A wavelet approach for the discrimination of buried objects","authors":"R. Araneo, S. Barmada, F. Maradei","doi":"10.1109/CEFC-06.2006.1632823","DOIUrl":null,"url":null,"abstract":"The detection of buried objects generally requires the discrimination between targets and clutters through the EM signature of the object. However the signature is generally limited to the magnitude or just to a single component of the field, making the detection problem tremendously difficult, especially when dealing with plastic target. The purpose of the present work is to numerically investigate a new detection system, based on both the magnitude and phase of all the components of the E-field at high frequencies, together with a new wavelet post-processing","PeriodicalId":262549,"journal":{"name":"2006 12th Biennial IEEE Conference on Electromagnetic Field Computation","volume":"118 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 12th Biennial IEEE Conference on Electromagnetic Field Computation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEFC-06.2006.1632823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The detection of buried objects generally requires the discrimination between targets and clutters through the EM signature of the object. However the signature is generally limited to the magnitude or just to a single component of the field, making the detection problem tremendously difficult, especially when dealing with plastic target. The purpose of the present work is to numerically investigate a new detection system, based on both the magnitude and phase of all the components of the E-field at high frequencies, together with a new wavelet post-processing