ARTIFICIAL NEURAL NETWORK ANALYSIS IN INTERFEROMETRIC THz IMAGING FOR DETECTION OF LETHAL AGENTS |
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Authors: | Aparajita Bandyopadhyay Amartya Sengupta Alexander M Sinyukov Robert B Barat Dale E Gary Zoi-Heleni Michalopoulou John F Federici |
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Affiliation: | 1. Department of Physics, New Jersey Institute of Technology, Newark, New Jersey, 07102, USA 2. Otto York Department of Chemical Engineering, New Jersey Institute of Technology, Newark, New Jersey, 07102, USA 3. Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, New Jersey, 07102, USA
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Abstract: | In the context of a non-invasive, non-contact method to detect concealed lethal agents employing stand-off imaging in the Terahertz (THz) range using an interferometric detector array, the techniques of image analysis are discussed. To complement the experimental testing, extensive modeling simulates reconstructed images of lethal agents at different THz frequencies applying interferometric techniques. The composite images are consequently analyzed using artificial neural network to make positive identification of the lethal agent. This work also attempts to address issues related to the presence of barriers and isolate some suitable numerical techniques required for rapid and successful recognition of lethal agents during security screening in THz range. |
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