CLEAN Technique to Classify and Detect Objects in Subsurface Imaging
Author
Source
International Journal of Antennas and Propagation
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-12-12
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Karpat, E.. 2012. CLEAN Technique to Classify and Detect Objects in Subsurface Imaging. International Journal of Antennas and Propagation،Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-507936
Modern Language Association (MLA)
Karpat, E.. CLEAN Technique to Classify and Detect Objects in Subsurface Imaging. International Journal of Antennas and Propagation No. 2012 (2012), pp.1-6.
https://search.emarefa.net/detail/BIM-507936
American Medical Association (AMA)
Karpat, E.. CLEAN Technique to Classify and Detect Objects in Subsurface Imaging. International Journal of Antennas and Propagation. 2012. Vol. 2012, no. 2012, pp.1-6.
https://search.emarefa.net/detail/BIM-507936
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507936