Non-destructive evaluation through a sparse reconstruction strategy

Author

Moriyama, Takumi ; Poli, Lorenzo ; Oliveri, G. ; Massa, A.

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of Nagasaki, Nagasaki, Japan

fYear

2014

fDate

16-19 Nov. 2014

Firstpage

1

Lastpage

3

Abstract

In this paper, the retrieval of sparse defects within known two-dimensional structures is addressed. A Bayesian Compressive Sensing technique has been developed to determine the differential induced currents thanks to a proper definition of an inhomogeneous Green´s function enabled from the a-priori knowledge of the unperturbed structure. Successively, a contrast source inversion method has been applied in order to reconstruct the dielectric features within the estimated region of the defect.

Keywords

Bayes methods; Green´s function methods; compressed sensing; microwave imaging; signal reconstruction; Bayesian compressive sensing technique; a-priori unperturbed structure knowledge; contrast source inversion method; dielectric feature reconstruction; inhomogeneous Green´s function; nondestructive evaluation; sparse defect retrieval; sparse reconstruction strategy; Bayes methods; Compressed sensing; Image reconstruction; Microwave imaging; Microwave measurement; Microwave theory and techniques;

fLanguage

English

Publisher

ieee

Conference_Titel

Antenna Measurements & Applications (CAMA), 2014 IEEE Conference on

Conference_Location

Antibes Juan-les-Pins

Type

conf

DOI

10.1109/CAMA.2014.7003438

Filename

7003438