title: Evaluation study of the effectiveness of the integrated genetic-algorithm-based strategy for the tomographic subsurface detection of defects.
abstract: An assessment is presented of the integrated genetic-algorithm strategy based on a numerically computed Green's function for subsurface inverse scattering problems arising in nondestructive evaluation/testing industrial applications. To show the effectiveness and current limitations of such a microwave technique in dealing with various scenarios characterized by lossless and lossy host media as well as in noisy environments, several numerical experiments are considered. The results obtained confirm the effectiveness of the approach in fully exploiting the available a priori information through a suitable scattering model, which allows a nonnegligible enhancement of the reconstruction accuracy as well as a reduction of the overall computational burden with respect to standard imaging approaches.
authors.affiliation: Department of Information and Communication Technologies, University of Trento, Italy.
authors.forename: Manuel
authors.initials: M
authors.lastname: Benedetti
authors.forename: Massimo
authors.initials: M
authors.lastname: Donelli
authors.forename: Gabriele
authors.initials: G
authors.lastname: Franceschini
authors.forename: Andrea
authors.initials: A
authors.lastname: Massa
authors.forename: Matteo
authors.initials: M
authors.lastname: Pastorino