DocumentCode :
2012337
Title :
Microwave detection of unknown targets by using Support Vector Machines
Author :
Randazzo, Andrea ; Pastorino, Matteo
Author_Institution :
Dept. of Biophys. & Electron. Eng., Univ. of Genova, Opera
fYear :
2009
fDate :
11-12 May 2009
Firstpage :
141
Lastpage :
146
Abstract :
Microwave imaging techniques are becoming rather common methods for the detection of unknown targets, since they are in general able to directly provide information on the dielectric properties of the objects under test. However, in several applications only few parameters have to be detected (e.g., position, size, etc.) In this paper, a new approach for the determination of such parameters is presented. The proposed method is based on the use of support vector machines for approximating the unknown relations between the quantities of interest and the measured scattered fields. In this paper, the mathematical formulation of the approach is described and some preliminary numerical results are reported.
Keywords :
dielectric properties; microwave detectors; microwave imaging; object detection; regression analysis; support vector machines; dielectric property; microwave detection; microwave imaging technique; regression analysis; scattered field measurement; support vector machine; unknown target detection; Dielectrics; Electromagnetic scattering; Engine cylinders; Inverse problems; Microwave imaging; Microwave theory and techniques; Neural networks; Object detection; Shape; Support vector machines; Microwave imaging; component; regression; support vector machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Imaging Systems and Techniques, 2009. IST '09. IEEE International Workshop on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-3482-4
Electronic_ISBN :
978-1-4244-3483-1
Type :
conf
DOI :
10.1109/IST.2009.5071620
Filename :
5071620
Link To Document :
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