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

Language
en
Document Type
Article
Issue Date
2015-07-07
Issue Year
2014
Authors
Adametz, Julian
Schmidt, Lorenz-Peter
Editor
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.

Journal Title
International Journal of Microwave and Wireless Technologies
Volume
6
Issue
Special issue 3/4
Citation
International Journal of Microwave and Wireless Technologies 6.Special Issue 3/4 (2014):S. 415-421. <http://dx.doi.org/10.1017/S1759078714000075>
DOI
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