CLEAN Technique to Classify and Detect Objects in Subsurface Imaging
INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION, cilt.2012, 2012 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 2012
- Basım Tarihi: 2012
- Doi Numarası: 10.1155/2012/917248
- Dergi Adı: INTERNATIONAL JOURNAL OF ANTENNAS AND PROPAGATION
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Bursa Uludağ Üniversitesi Adresli: Evet
Özet
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.