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

A.V. Kuzhuget ; Larisa Beilina (Institutionen för matematiska vetenskaper, matematik) ; Michael V. Klibanov ; A. Sullivan ; L. Nguyen ; M.A. Fiddy
IEEE Transactions on Geoscience and Remote Sensing (0196-2892). Vol. 51 (2013), 5, p. 2937 - 2948.
[Artikel, refereegranskad vetenskaplig]

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.

Nyckelord: Experimental data; inverse scattering; quantitative imaging; remote sensing



Denna post skapades 2013-01-02. Senast ändrad 2016-06-27.
CPL Pubid: 168822

 

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Institutioner (Chalmers)

Institutionen för matematiska vetenskaper, matematik (2005-2016)

Ämnesområden

Beräkningsmatematik

Chalmers infrastruktur