CLEAN Technique to Classify and Detect Objects in Subsurface Imaging | Zendy

Esin Karpat | Zendy

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CLEAN Technique to Classify and Detect Objects in Subsurface Imaging

Author(s) -

Esin Karpat

Publication year - 2012

Publication title -

international journal of antennas and propagation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.282

H-Index - 37

eISSN - 1687-5877

pISSN - 1687-5869

DOI - 10.1155/2012/917248

Subject(s) - finite difference time domain method , matlab , computer science , synthetic aperture radar , domain (mathematical analysis) , image (mathematics) , process (computing) , artificial intelligence , computer vision , scattering , algorithm , remote sensing , optics , geology , mathematics , physics , mathematical analysis , operating system

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

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