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.

引用

页数：3

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