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

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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Contrast Source Inversion Algorithm Applied in 3-D Microwave Imaging

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.468-471.314 ◽

2012 ◽

Vol 468-471 ◽

pp. 314-317

Author(s):

Yu Xin Xie ◽

Xue Jing Wang ◽

Jing Hong Miao ◽

Cui Juan Guo ◽

Jiang Xiong Li ◽

...

Keyword(s):

Integral Equation ◽

Three Dimensional ◽

Iterative Algorithms ◽

Microwave Imaging ◽

Controlled Environment ◽

Source Inversion ◽

Inversion Algorithm ◽

3D Inversion ◽

Contrast Source Inversion ◽

Dielectric Target

This paper describes an nonlinear three-dimensional (3D) inversion algorithm for reconstructing a homogeneous dielectric target in an anechoic chamber in a controlled environment. The applied algorithm is a nonlinear iterative algorithms—two domain integral equation based method, namely the contrast source inversion (CSI) algorithm. The inversion results, which are presented and compared for the co-polorized data using the multi-frequency multi-bistatic measurements, verify the capability, the accuracy of the CSI algorithm for 3-D microwave imaging.

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Finite-element contrast source inversion method for microwave imaging

Inverse Problems ◽

10.1088/0266-5611/26/11/115010 ◽

2010 ◽

Vol 26 (11) ◽

pp. 115010 ◽

Cited By ~ 65

Author(s):

Amer Zakaria ◽

Colin Gilmore ◽

Joe LoVetri

Keyword(s):

Finite Element ◽

Microwave Imaging ◽

Inversion Method ◽

Source Inversion ◽

Contrast Source Inversion

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A Dynamically Balanced OpenMP-CUDA Implementation of PDE-Based Contrast Source Inversion for Microwave Imaging

2018 18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM) ◽

10.1109/antem.2018.8572994 ◽

2018 ◽

Author(s):

Nicholas Geddert ◽

Ian Jeffrey

Keyword(s):

Microwave Imaging ◽

Source Inversion ◽

Contrast Source Inversion

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On the implementation of a three-dimensional finite-element contrast source inversion method

Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation ◽

10.1109/aps.2012.6348822 ◽

2012 ◽

Author(s):

Amer Zakaria ◽

Joe LoVetri

Keyword(s):

Finite Element ◽

Three Dimensional ◽

Inversion Method ◽

Source Inversion ◽

Contrast Source Inversion ◽

Dimensional Finite Element ◽

Three Dimensional Finite Element

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Microwave imaging by mixed-order discontinuous Galerkin contrast source inversion

2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS) ◽

10.1109/ursigass.2014.6929052 ◽

2014 ◽

Cited By ~ 2

Author(s):

Ian Jeffrey ◽

Amer Zakaria ◽

Joe LoVetri

Keyword(s):

Discontinuous Galerkin ◽

Microwave Imaging ◽

Source Inversion ◽

Contrast Source Inversion ◽

Mixed Order

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Three-Dimensional Joint Inversion of EM and Acoustic Data Based on Contrast Source Inversion

IEEE Journal on Multiscale and Multiphysics Computational Techniques ◽

10.1109/jmmct.2020.2974677 ◽

2020 ◽

Vol 5 ◽

pp. 28-36

Author(s):

Xiaoqian Song ◽

Maokun Li ◽

Fan Yang ◽

Shenheng Xu ◽

Aria Abubakar

Keyword(s):

Joint Inversion ◽

Three Dimensional ◽

Source Inversion ◽

Acoustic Data ◽

Contrast Source Inversion

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Three-Dimensional Sparse Turntable Microwave Imaging Based on Compressive Sensing

IEEE Geoscience and Remote Sensing Letters ◽

10.1109/lgrs.2014.2363238 ◽

2015 ◽

Vol 12 (4) ◽

pp. 826-830 ◽

Cited By ~ 16

Author(s):

Wei Qiu ◽

Jianxiong Zhou ◽

Hongzhong Zhao ◽

Qiang Fu

Keyword(s):

Compressive Sensing ◽

Three Dimensional ◽

Microwave Imaging

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Microwave Imaging of Three-Dimensional Targets by Means of an Inexact-Newton-Based Inversion Algorithm

International Journal of Antennas and Propagation ◽

10.1155/2013/407607 ◽

2013 ◽

Vol 2013 ◽

pp. 1-10 ◽

Cited By ~ 11

Author(s):

Claudio Estatico ◽

Matteo Pastorino ◽

Andrea Randazzo

Keyword(s):

Inverse Scattering ◽

Scattering Problem ◽

Three Dimensional ◽

Inverse Scattering Problem ◽

Microwave Imaging ◽

Inexact Newton Method ◽

Imaging Method ◽

Inversion Algorithm ◽

Three Dimensional Objects ◽

Full Vector

A microwave imaging method previously developed for tomographic inspection of dielectric targets is extended to three-dimensional objects. The approach is based on the full vector equations of the electromagnetic inverse scattering problem. The ill-posedness of the problem is faced by the application of an inexact-Newton method. Preliminary reconstruction results are reported.

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