Target decomposition and polarimetric radar applied to concealed threat detection

Dean O'Reilly; Nicholas Bowring; Nacer Ddine Rezgui; David Andrews

doi:10.1117/12.2034125

18 October 2013 Target decomposition and polarimetric radar applied to concealed threat detection

Dean O'Reilly, Nicholas Bowring, Nacer Ddine Rezgui, David Andrews

Proceedings Volume 8900, Millimetre Wave and Terahertz Sensors and Technology VI; 89000D (2013) https://doi.org/10.1117/12.2034125
Event: SPIE Security + Defence, 2013, Dresden, Germany

Abstract

Target decomposition is of interest to the security and defence community as it enables data sets to be reduced to their principal identifying components as a pre-processor to running pattern recognition algorithms. An investigation into the application of target decomposition theory for concealed threat detection is presented. A validation study has been conducted in which the scattering of an EM wave by a number of primitive radar calibration targets has been simulated using an EM FEA solver. A knife has then been illuminated with quad polar radar again in a simulation conducted using an EM FEA solver. The validation of the target decomposition algorithm is achieved by analysing the calibration targets with well-known scattering mechanisms. The decomposition of more complex targets such as those encountered in Concealed Threat Detection (CTD) scenarios are then analysed. The decomposition is performed as prescribed by Cloude et al and the scattering of the illuminating wave due to the target is mapped onto a 3D space detailing polarimetric entropy (H), anisotropy (A) and alpha-angle (α). The decomposition of these complex scattering mechanisms is then used to classify the data. Both theoretical and simulated data sets are used to validate this technique.

Citation Download Citation

Dean O'Reilly, Nicholas Bowring, Nacer Ddine Rezgui, and David Andrews "Target decomposition and polarimetric radar applied to concealed threat detection", Proc. SPIE 8900, Millimetre Wave and Terahertz Sensors and Technology VI, 89000D (18 October 2013); https://doi.org/10.1117/12.2034125

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