CLEAN Technique to Classify and Detect Objects in Subsurface Imaging

المؤلف

Karpat, E.

المصدر

International Journal of Antennas and Propagation

العدد

المجلد 2012، العدد 2012 (31 ديسمبر/كانون الأول 2012)، ص ص. 1-6، 6ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2012-12-12

دولة النشر

مصر

عدد الصفحات

6

التخصصات الرئيسية

هندسة كهربائية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-507936