Threat Object Classification with a Close Range Polarimetric Imaging System by Means of H-alpha Decomposition

Adametz J, Schmidt LP (2013)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2013

Edited Volumes: European Microwave Week 2013, EuMW 2013 - Conference Proceedings; EuRAD 2013: 10th European Radar Conference

Pages Range: 77-80

Conference Proceedings Title: 43th European Microwave Week

Event location: Nuremberg, Germany DE

ISBN: 978-2-87487-033-0

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, monostatic synthetic aperture radar (SAR). 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. © 2013 EMA.

Authors with CRIS profile

Julian Adametz Lehrstuhl für Hochfrequenztechnik Lorenz-Peter Schmidt Lehrstuhl für Hochfrequenztechnik

How to cite

APA:

Adametz, J., & Schmidt, L.-P. (2013). Threat Object Classification with a Close Range Polarimetric Imaging System by Means of H-alpha Decomposition. In 43th European Microwave Week (pp. 77-80). Nuremberg, Germany, DE.

MLA:

Adametz, Julian, and Lorenz-Peter Schmidt. "Threat Object Classification with a Close Range Polarimetric Imaging System by Means of H-alpha Decomposition." Proceedings of the 2013 10th European Radar Conference, EuRAD 2013 - Held as Part of 16th European Microwave Week, EuMW 2013, Nuremberg, Germany 2013. 77-80.

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