CLEAN technique to classify and detect objects in subsurface imaging
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.
Description
Keywords
Engineering, Telecommunications, Ground-penetrating radar, Breast-cancer detection, Inverse scattering, Metallic cylinder, Virtual tool, Fdtd, Simulation, Reconstruction, Algorithms, Finite difference time domain method, Clean technique, Finite difference time domains, Image domain, Imaging algorithm, Non destructive, Sar images, Scattering centers, Scattering data, Sub-surface imaging, Synthetic aperture radar
Citation
Karpat, E. (2012). "CLEAN technique to classify and detect objects in subsurface imaging". International Journal of Antennas and Propagation, 2012, 1-6.