IMAGING OF UNKNOWN TARGETS INSIDE INHOMOGENEOUS BACKGROUNDS BY MEANS OF QUALITATIVE INVERSE SCATTERING

被引:1
作者
Bozza, Giovanni [1 ]
Brignone, Massimo [2 ]
Pastorino, Matteo [1 ]
Randazzo, Andrea [1 ]
Piana, Michele [3 ]
机构
[1] Univ Genoa, Dipartimento Ingn Biofis & Elettr, I-16145 Genoa, Italy
[2] Univ Genoa, Dipartimento Matemat, I-16146 Genoa, Italy
[3] Univ Verona, Dipartimento Informat, I-37134 Verona, Italy
关键词
Microwave Imaging; Inverse Scattering; Linear Sampling Method; Regularization Theory; OBJECTS;
D O I
10.3934/ipi.2009.3.231
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper a new formulation of the Linear Sampling Method, called the no-Sampling Linear Sampling Method, is applied to the imaging and detection of unknown scatterers located inside an inhomogeneous background. Namely, by following a previous work by Colton and Monk, a modified far-field equation is used, which allows one to use line current sources and near-field measurements. The Green's function of the inhomogeneous background is numerically computed and used as the right hand side of the modified far-field equation. The proposed method is then applied to two different scenarios: the detection of breast tumors and the imaging of cracks inside a dielectric slab. A numerical analysis of the method capabilities is performed when the model parameters are not exactly known.
引用
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页码:231 / 241
页数:11
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