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Göteborgs universitets publikationer

Quantitative image recovery from measured blind backscattered data using a globally convergent inverse method

Författare och institution:
A.V. Kuzhuget (-); Larisa Beilina (Institutionen för matematiska vetenskaper, matematik, Chalmers/GU); Michael V. Klibanov (-); A. Sullivan (-); L. Nguyen (-); M.A. Fiddy (-)
Publicerad i:
IEEE Transactions on Geoscience and Remote Sensing, 51 ( 5 ) s. 2937 - 2948
ISSN:
0196-2892
Publikationstyp:
Artikel, refereegranskad vetenskaplig
Publiceringsår:
2013
Språk:
engelska
Fulltextlänk:
Fulltextlänk (lokalt arkiv):
Sammanfattning (abstract):
The goal of this paper is to introduce the application of a globally convergent inverse scattering algorithm to estimate dielectric constants of targets using time-resolved backscattering data collected by a U.S. Army Research Laboratory forward-looking radar. The processing of the data was conducted blind, i.e., without any prior knowledge of the targets. The problem is solved by formulating the scattering problem as a coefficient inverse problem for a hyperbolic partial differential equation. The main new feature of this algorithm is its rigorously established global convergence property. Calculated values of dielectric constants are in a good agreement with material properties, which were revealed a posteriori.
Ämne (baseras på Högskoleverkets indelning av forskningsämnen):
NATURVETENSKAP ->
Matematik ->
Beräkningsmatematik
Nyckelord:
Experimental data; inverse scattering; quantitative imaging; remote sensing
Postens nummer:
168822
Posten skapad:
2013-01-02 13:43
Posten ändrad:
2016-06-27 14:36

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