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Threat object classification with a close range polarimetric imaging system by means of H-α decomposition

Published online by Cambridge University Press:  27 March 2014

Julian Adametz  and
Lorenz-Peter Schmidt
Julian Adametz*
Affiliation:
Institute of Microwaves and Photonics (LHFT), University of Erlangen-Nuremberg (FAU), Cauerstrasse 9, 91058 Erlangen, Germany. Phone: +49 9131 85 25477
Lorenz-Peter Schmidt
Affiliation:
Institute of Microwaves and Photonics (LHFT), University of Erlangen-Nuremberg (FAU), Cauerstrasse 9, 91058 Erlangen, Germany. Phone: +49 9131 85 25477
*
Corresponding author: J. Adametz Email: julian.adametz@fau.de
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Abstract

In this paper, an approach to differentiate between various dielectric threat objects in security applications is investigated. The scattering information in form of the Sinclair matrix of relevant scenarios is gained from a fully polarimetric, synthetic aperture radar. Both monostatic and multistatic array configurations are examined. A possible polarimetric calibration procedure is presented. The radar data are processed with the H-α decomposition algorithm. The H-α scattering characteristics of threat objects are analyzed in terms of a weighted averaging. It is shown that an object classification is possible even for threat objects conceiled under thick layers of clothing. Measurement results are presented to illustrate the topic.

Keywords

Radar and homeland securityQuality of life/medical diagnosis and imaging systems
Type
Research Paper
Information
International Journal of Microwave and Wireless Technologies , Volume 6 , Issue 3-4: European Microwave Week 2013 , June 2014 , pp. 415 - 421
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2014 

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References

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