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Göteborgs universitets publikationer

Approximate global convergence in imaging of land mines from backscattered data

Författare och institution:
Larisa Beilina (Institutionen för matematiska vetenskaper, matematik, Chalmers/GU); M.V. Klibanov (-)
Publicerad i:
Applied Inverse Problems, Springer Proceedings in Mathematics & Statistics (Select Contributions from the First Annual Workshop on Inverse Problems, Gothenburg, Sweden, 2-3 June 2011), 48 s. 15-36
ISBN:
978-1-4614-7816-4
ISSN:
2194-1009
Publikationstyp:
Konferensbidrag, refereegranskat
Publiceringsår:
2013
Språk:
engelska
Fulltextlänk:
Sammanfattning (abstract):
We present new model of an approximate globally convergent method in the most challenging case of the backscattered data. In this case data for the coefficient inverse problem are given only at the backscattered side of the medium which should be reconstructed. We demonstrate efficiency and robustness of the proposed technique on the numerical solution of the coefficient inverse problem in two dimensions with the time-dependent backscattered data. Goal of our tests is to reconstruct dielectrics in land mines which is the special case of interest in military applications. Our tests show that refractive indices and locations of dielectric abnormalities are accurately imaged.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
NATURVETENSKAP ->
Matematik
Postens nummer:
190459
Posten skapad:
2013-12-23 17:09
Posten ändrad:
2016-06-27 14:43

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