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International Journal of Antennas and Propagation
Volume 2012 (2012), Article ID 917248, 6 pages
http://dx.doi.org/10.1155/2012/917248
Research Article

CLEAN Technique to Classify and Detect Objects in Subsurface Imaging

Electronics Engineering Department, Uludag University, Gorukle, Bursa, Turkey

Received 4 October 2012; Revised 20 November 2012; Accepted 21 November 2012

Academic Editor: Dau-Chyrh Chang

Copyright © 2012 E. Karpat. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

An image domain CLEAN technique, for nondestructive and noncontacting subsurface imaging, is discussed. Recently introduced finite-difference time-domain- (FDTD-) based virtual tool, GrGPR, is used to create imaging scenarios and to generate synthetic scattering data through synthetic aperture (SAR) type scanning. Matlab-based imaging algorithms are used to process recorded FDTD data. The location and the geometry of the targets are obtained by image domain CLEAN technique which is extracting scattering centers from the SAR image. The effectiveness of the algorithm is tested in simulated data.