Title :
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
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;
Conference_Titel :
Antenna Measurements & Applications (CAMA), 2014 IEEE Conference on
Conference_Location :
Antibes Juan-les-Pins
DOI :
10.1109/CAMA.2014.7003438
