Title :
A compressive sensing approach to NDE/NDT
Author :
Moriyama, Takumi ; Poli, Lorenzo ; Anselmi, Nicola ; Oliveri, G. ; Ping-Ping Ding
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Nagasaki, Nagasaki, Japan
Abstract :
This paper presents an innovative microwave imaging technique for detecting defects in dielectric or conductive media developed through the Bayesian Compressive Sensing theory. Thanks to the a-priori knowledge of the medium unaffected by defects, the inversion problem is formulated as the estimation of the sparse differential equivalent currents within the support of the defects. The strategy has been developed in a multi-task implementation in order to efficiently handle the information provided by the scattered data.
Keywords :
Bayes methods; compressed sensing; dielectric devices; inverse problems; microwave imaging; nondestructive testing; Bayesian compressive sensing theory; NDE; NDT; a-priori knowledge; conductive media; defect detection; dielectric media; innovative microwave imaging technique; inversion problem; nondestructive evaluation; nondestructive testing; sparse differential equivalent current estimation; Bayes methods; Compressed sensing; Image reconstruction; Inverse problems; Microwave imaging; Microwave theory and techniques;
Conference_Titel :
Antenna Measurements & Applications (CAMA), 2014 IEEE Conference on
Conference_Location :
Antibes Juan-les-Pins
DOI :
10.1109/CAMA.2014.7003340