Advanced multi-frequency GPR data processing for non-linear deterministic imaging

被引:42
|
作者
Salucci, M. [1 ,2 ]
Poli, L. [1 ]
Massa, A. [1 ,2 ]
机构
[1] Univ Trento, ELEDIA UniTN, ELEDIA Res Ctr, Via Sommarive 9, I-38123 Trento, Italy
[2] ELEDIA Res Ctr, ELEDIA L2S, UMR 8506, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, France
关键词
Ground-Penetrating Radar (GPR); Conjugate gradient; Frequency-hopping; Multi-frequency; Iterative multi-scaling approach; GROUND-PENETRATING RADAR; INVERSE-SCATTERING; RECONSTRUCTION; OPTIMIZATION; OBJECTS;
D O I
10.1016/j.sigpro.2016.06.019
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
In this paper, the quantitative imaging of the dielectric characteristics of unknown targets buried in a lossy half-space is performed by suitably processing wide-band ground penetrating radar (GPR) measurements. An innovative multi-frequency (MF) fully non-linear inverse scattering (IS) technique exploiting the integration of a conjugate-gradient (CG) solver within the iterative multi-scaling approach (IMSA) is proposed. Representative results from numerical test cases are presented to provide the interested readers with some indications on the effectiveness, as well as the current limitations, of the proposed approach when directly compared to a state-of-the-art frequency-hopping (FH) based method formulated in the same framework. Such a validation points out that if, on the one hand, the proposed MF strategy is computationally more efficient than the FH one, on the other hand, it turns out to be less reliable and accurate in several situations. (C) 2016 Elsevier B.V. All rights reserved.,
引用
收藏
页码:306 / 318
页数:13
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