Title :
Quantitative Image Recovery From Measured Blind Backscattered Data Using a Globally Convergent Inverse Method
Author :
Kuzhuget, Andrey V. ; Beilina, Larisa ; Klibanov, Michael V. ; Sullivan, Andrew ; Nguyen, L. ; Fiddy, Michael A.
Author_Institution :
Morgan Stanley, New York, NY, USA
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.
Keywords :
Backscatter; Convergence; Dielectric measurements; Inverse problems; Mathematical model; Scattering; Experimental data; inverse scattering; quantitative imaging; remote sensing;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
DOI :
10.1109/TGRS.2012.2211885