Multi-frequency subspace migration imaging techniques are usually adopted for the non-
iterative imaging of unknown electromagnetic targets, such as cracks in concrete walls or …

In this work we investigate the reconstruction of sound-hard obstacles buried in a bounded
material medium by a non-iterative method based on the computation of topological …

In this paper, we investigate a non-iterative imaging algorithm based on the topological
derivative in order to retrieve the shape of penetrable electromagnetic inclusions when their …

In this manuscript, a fast imaging of thin, curve-like electromagnetic inclusions completely
hidden in the homogeneous domain with smooth boundaries is considered. By creating an …

This paper concerns a fast, one-step iterative technique of imaging extended perfectly
conducting cracks with Dirichlet boundary condition. In order to reconstruct the shape of …

This study analyzes the well-known MUltiple SIgnal Classification (MUSIC) algorithm to
identify unknown support of thin penetrable electromagnetic inhomogeneity from scattered …

Recently, a non-iterative multi-frequency subspace migration imaging algorithm was
developed based on an asymptotic expansion formula for thin, curve-like electromagnetic …

An analysis of subspace migration that occurs in the limited-view inverse scattering problem
is considered herein. Based on the structure of singular vectors associated with the nonzero …

In this study, the influence of a test vector selection used in subspace migration to
reconstruct the shape of a sound-hard arc in a two-dimensional inverse acoustic problem is …

Abstract We consider MUltiple SIgnal Classification (MUSIC)-type imaging of perfectly
conducting cracks arising in inverse scattering problems. We first explore the structure of a …