P. M. van den Berg, A. Abubakar, N. Budko, R. Remis
{"title":"地埋物探地雷达成像与反演","authors":"P. M. van den Berg, A. Abubakar, N. Budko, R. Remis","doi":"10.1109/IGARSS.2001.976850","DOIUrl":null,"url":null,"abstract":"The problem of detection of a buried object is formulated as an electromagnetic inverse scattering problem, using algorithms of increasing complexity. Our first approach consists of a back-projection of the measured data and this imaging algorithm enables the location of the suspicious areas, where further investigation is needed. The second approach is effective inversion, where a domain of interest is selected and an effective permittivity and conductivity inside the domain is computed using either a linear or a nonlinear optimization scheme. In our third approach we aim to invert the spatial distribution of the permittivity and conductivity inside the domain of interest. We employ either a linearized inversion scheme based on the Born approximation or a full non-linearized inverse method based on the contrast source inversion (CSI) method.","PeriodicalId":135740,"journal":{"name":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Imaging and inversion of buried objects using GPR\",\"authors\":\"P. M. van den Berg, A. Abubakar, N. Budko, R. Remis\",\"doi\":\"10.1109/IGARSS.2001.976850\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of detection of a buried object is formulated as an electromagnetic inverse scattering problem, using algorithms of increasing complexity. Our first approach consists of a back-projection of the measured data and this imaging algorithm enables the location of the suspicious areas, where further investigation is needed. The second approach is effective inversion, where a domain of interest is selected and an effective permittivity and conductivity inside the domain is computed using either a linear or a nonlinear optimization scheme. In our third approach we aim to invert the spatial distribution of the permittivity and conductivity inside the domain of interest. We employ either a linearized inversion scheme based on the Born approximation or a full non-linearized inverse method based on the contrast source inversion (CSI) method.\",\"PeriodicalId\":135740,\"journal\":{\"name\":\"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IGARSS.2001.976850\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IGARSS.2001.976850","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The problem of detection of a buried object is formulated as an electromagnetic inverse scattering problem, using algorithms of increasing complexity. Our first approach consists of a back-projection of the measured data and this imaging algorithm enables the location of the suspicious areas, where further investigation is needed. The second approach is effective inversion, where a domain of interest is selected and an effective permittivity and conductivity inside the domain is computed using either a linear or a nonlinear optimization scheme. In our third approach we aim to invert the spatial distribution of the permittivity and conductivity inside the domain of interest. We employ either a linearized inversion scheme based on the Born approximation or a full non-linearized inverse method based on the contrast source inversion (CSI) method.