2013
DOI: 10.1088/0266-5611/29/11/115015
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The factorization method for the acoustic transmission problem

Abstract: In the present work, the shape reconstruction problem of acoustically penetrable bodies from far-field data corresponding to time-harmonic plane wave incidence is investigated within the framework of the factorization method. Although the latter technique has received considerable attention in inverse scattering problems dealing with impenetrable scatterers, it has not been elaborated for inverse transmission problems with the only exception being a work by the first two authors and co-workers. Aimed at bridgi… Show more

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Cited by 22 publications
(10 citation statements)
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References 50 publications
(108 reference statements)
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“…The derivation of the far-field pattern for a sphere of radius R is an easy task. Using the same ansatz as in [1,Section 4.2], we obtain…”
Section: Computing Interior Transmission Eigenvalues From Far-field Datamentioning
confidence: 99%
“…The derivation of the far-field pattern for a sphere of radius R is an easy task. Using the same ansatz as in [1,Section 4.2], we obtain…”
Section: Computing Interior Transmission Eigenvalues From Far-field Datamentioning
confidence: 99%
“…subject to the Dirichlet boundary condition u = 0, on ∂D (2) and the Sommerfeld radiation condition (with r = |x|)…”
Section: Inverse Scattering Problem and Kirsch's Factorization Methodsmentioning
confidence: 99%
“…The factorization method has first been introduced by Kirsch ( [16]) for the inverse acoustic obstacle scattering. It has been studied so far by many authors (see e.g., [1,3,4,7,11,17,18,19,20,22,24]), and it is well known as one of classical qualitative methods, which includes the linear sampling method of Colton and Kirsch ([5]), the singular sources method of Potthast ([23]), the probe method of Ikehata ([15]), etc. The monotonicity method, on the other hand, has been recently introduced by Harrach in [14] for the electrical impedance tomography.…”
Section: Introductionmentioning
confidence: 99%