Artificial neural network analysis in interferometric thz imaging for detection of lethal agents
Document Type
Article
Publication Date
8-1-2006
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. © Springer Science+Business Media, LLC 2006.
Identifier
34248995846 (Scopus)
Publication Title
International Journal of Infrared and Millimeter Waves
External Full Text Location
https://doi.org/10.1007/s10762-006-9096-5
e-ISSN
15729559
ISSN
01959271
First Page
1145
Last Page
1158
Issue
8
Volume
27
Recommended Citation
Bandyopadhyay, Aparajita; Sengupta, Amartya; Sinyukov, Alexander M.; Barat, Robert B.; Gary, Dale E.; Michalopoulou, Zoi Heleni; and Federici, John F., "Artificial neural network analysis in interferometric thz imaging for detection of lethal agents" (2006). Faculty Publications. 18860.
https://digitalcommons.njit.edu/fac_pubs/18860
