CLEAN Technique to Classify and Detect Objects in Subsurface Imaging


Karpat E.

INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION, vol.2012, 2012 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 2012
  • Publication Date: 2012
  • Doi Number: 10.1155/2012/917248
  • Title of Journal : INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION

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.