Multi-Scaling Deterministic Imaging for GPR Survey

被引：0
|
作者：
Moriyama, Toshifumi [1 ]
Salucci, Marco [2 ]
Oliveri, Giacomo [2 ]
Tenuti, Lorenza [2 ]
Rocca, Paolo [2 ]
Massa, Andrea [2 ]
机构：
[1] Nagasaki Univ, Dept Elect & Elect Engn, Nagasaki 8528521, Japan
[2] Univ Trent, ELEDIA Res Ctr DISI, I-38123 Trento, Italy
来源：
2014 IEEE CONFERENCE ON ANTENNA MEASUREMENTS & APPLICATIONS (CAMA) | 2014年
关键词：
INVERSE SCATTERING; OPTIMIZATION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The retrieval of the dielectric characteristics of 2-D objects buried in a lossy half-space from Ground Penetrating Radar (GPR) measurements is dealt with. The proposed imaging algorithm is able to effectively mitigate the effects of both non-linearity and ill-posedness of the inversion problem through a multi-scaling deterministic approach based on a Conjugate Gradient minimization (IMSA-CG), while its integration within a Frequency Hopping (FH) strategy guarantees a profitable exploitation of the multi-frequency nature of realistic GPR measurements. The effectiveness of the proposed technique is shown by numerical simulations, and a direct comparison with a single-scaling "bare" implementation is given.
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页数：3
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