Full-Vectorial 3D Microwave Imaging of Sparse Scatterers through a Multi-Task Bayesian Compressive Sensing Approach

被引：3
作者：
Salucci, Marco [1 ,2 ]
Poli, Lorenzo [1 ,2 ]
Oliveri, Giacomo [1 ,2 ]
机构：
[1] ELEDIA UniTN Univ Trento, ELEDIA Res Ctr, Via Sommarive 9, I-38123 Trento, Italy
[2] ELEDIA L2S UMR 8506, ELEDIA Res Ctr, 3 Rue Joliot Curie, F-91192 Gif Sur Yvette, France
来源：
JOURNAL OF IMAGING | 2019年 / 5卷 / 01期
关键词：
microwave imaging; inverse scattering; Bayesian compressive sensing (BCS); contrast source inversion (CSI); 3D; INVERSE SCATTERING; TOMOGRAPHY; RECONSTRUCTION;
D O I：
10.3390/jimaging5010019
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
In this paper, the full-vectorial three-dimensional (3D) microwave imaging (MI) of sparse scatterers is dealt with. Towards this end, the inverse scattering (IS) problem is formulated within the contrast source inversion (CSI) framework and it is aimed at retrieving the sparsest and most probable distribution of the contrast source within the imaged volume. A customized multi-task Bayesian compressive sensing (MT-BCS) method is used to yield regularized solutions of the 3D-IS problem with a remarkable computational efficiency. Selected numerical results on representative benchmarks are presented and discussed to assess the effectiveness and the reliability of the proposed MT-BCS strategy in comparison with other competitive state-of-the-art approaches, as well.
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页数：24
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