CLEAN Technique to Classify and Detect Objects in Subsurface Imaging

CLEAN Technique to Classify and Detect Objects in Subsurface Imaging

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)...

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Main Author: E. Karpat
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2012/917248
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spelling doaj-fbcf1821465e409184ef49ad1f326bb32020-11-25T00:15:23ZengHindawi LimitedInternational Journal of Antennas and Propagation1687-58691687-58772012-01-01201210.1155/2012/917248917248CLEAN Technique to Classify and Detect Objects in Subsurface ImagingE. Karpat0Electronics Engineering Department, Uludag University, Gorukle, Bursa, TurkeyAn 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.http://dx.doi.org/10.1155/2012/917248
collection DOAJ
language English
format Article
sources DOAJ
author E. Karpat
spellingShingle E. Karpat
CLEAN Technique to Classify and Detect Objects in Subsurface Imaging
International Journal of Antennas and Propagation
author_facet E. Karpat
author_sort E. Karpat
title CLEAN Technique to Classify and Detect Objects in Subsurface Imaging
title_short CLEAN Technique to Classify and Detect Objects in Subsurface Imaging
title_full CLEAN Technique to Classify and Detect Objects in Subsurface Imaging
title_fullStr CLEAN Technique to Classify and Detect Objects in Subsurface Imaging
title_full_unstemmed CLEAN Technique to Classify and Detect Objects in Subsurface Imaging
title_sort clean technique to classify and detect objects in subsurface imaging
publisher Hindawi Limited
series International Journal of Antennas and Propagation
issn 1687-5869
1687-5877
publishDate 2012-01-01
description 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.
url http://dx.doi.org/10.1155/2012/917248
work_keys_str_mv AT ekarpat cleantechniquetoclassifyanddetectobjectsinsubsurfaceimaging
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