Automated threat detection and characterization with a polarimetric multistatic imaging system

摘要

In the field of security technology personnel screening systems are required, which provide detection and characterization of concealed items. This paper presents an approach for the detection and characterization of threats. It is based on the measurement with a polarimetric, multistatic imaging system, which operates in the frequency range of 75–95 GHz. Dielectric objects are identified and estimation of their material parameters is performed, by analyzing the co-polarization components of the polarimetric Sinclair matrix with the reflection ellipsometry method. The cross-polarization components of the scattering matrix are utilized, in order to implement an edge detection. The results show, that the analysis of the polarimetric imaging data represents a promising approach for an automated threat detection, without any invasion of personal privacy. Furthermore, it allows the estimation of the material parameters with a good accuracy.