DocumentCode :
1203303
Title :
Effective exploitation of the a priori information through a microwave imaging procedure based on the SMW for NDE/NDT applications
Author :
Benedetti, Manuel ; Donelli, Massimo ; Franceschini, Gabriele ; Pastorino, Matteo ; Massa, Andrea
Author_Institution :
Dept. of Inf. & Commun. Technol., Univ. of Trento, Italy
Volume :
43
Issue :
11
fYear :
2005
Firstpage :
2584
Lastpage :
2592
Abstract :
This paper presents an innovative microwave technique, which is suitable for the detection of defects in nondestructive-test and nondestructive-evaluation (NDT/NDE) applications where a lot of a priori information is available. The proposed approach is based on the equations of the inverse scattering problem, which are solved by means of a minimization procedure based on a genetic algorithm. To reduce the number of problem unknowns, the available a priori information is efficiently exploited by introducing an updating procedure for the electric field computation based on the Sherman-Morrison-Woodbury formula. The results of a representative set of numerical experiments as well as comparisons with state-of-the-art methods are reported. They confirm the effectiveness, feasibility, and robustness of the proposed approach, which shows some interesting features by a computational point of view as well.
Keywords :
genetic algorithms; inverse problems; microwave measurement; minimisation; nondestructive testing; remote sensing; NDE/NDT applications; Sherman-Morrison-Woodbury formula; a priori information; genetic algorithm; inverse scattering problem; microwave imaging; minimization; nondestructive evaluation; nondestructive testing; Computational complexity; Dielectrics; Equations; Genetic algorithms; Inverse problems; Microwave imaging; Microwave theory and techniques; Minimization methods; Nondestructive testing; Robustness; Genetic algorithms (GAs); Sherman–Morrison–Woodbury (SMW) formula; microwave imaging; nondestructive testing and evaluation;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2005.856630
Filename :
1522619
Link To Document :
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