Quantitative image recovery from measured blind backscattered data using a globally convergent inverse method
Journal article, 2013

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.

Experimental data

inverse scattering

remote sensing

quantitative imaging


A. V. Kuzhuget

Morgan Stanley

Larisa Beilina

University of Gothenburg

Chalmers, Mathematical Sciences, Mathematics

Michael V. Klibanov

The University of North Carolina at Charlotte

A. Sullivan

U.S. Army Research Laboratory

L. Nguyen

U.S. Army Research Laboratory

M. A. Fiddy

The University of North Carolina at Charlotte

IEEE Transactions on Geoscience and Remote Sensing

0196-2892 (ISSN)

Vol. 51 5 2937 - 2948

Subject Categories

Computational Mathematics



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