CLEAN Technique to Classify and Detect Objects in Subsurface Imaging

Author

Karpat, E.

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

Electronic engineering

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