Interferometric terahertz imaging for detection of lethal agents using artificial neural network analyses

Aparajita Bandyopadhyay; Alexander M. Sinyukov; Amartya Sengupta; Dale Gary; John Federici; Robert Barat; Zoi-Heleni Michalopoulou

doi:10.1109/SARNOF.2006.4534807

Interferometric terahertz imaging for detection of lethal agents using artificial neural network analyses

Aparajita Bandyopadhyay, Alexander M. Sinyukov, Amartya Sengupta, Dale Gary, John Federici, Robert Barat, Zoi-Heleni Michalopoulou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Interferometric imaging is a non-invasive, non-contact method to detect concealed lethal agents employing spectral imaging in the terahertz (THz) range. Parallel to the experimental testing over short range, extensive modeling simulates reconstructed images of lethal agents at different frequencies applying interferometric techniques. Near-field correction to such imaging has been accounted for and edge probe algorithm and consequent artificial neural network analyses identify the agents under consideration. This work addresses the issues related to THz imaging for rapid and successful recognition of lethal agents in security screening.

Original language	English (US)
Title of host publication	2006 IEEE Sarnoff Symposium
DOIs	https://doi.org/10.1109/SARNOF.2006.4534807
State	Published - Dec 1 2006
Event	2006 IEEE Sarnoff Symposium - Princeton, NJ, United States Duration: Mar 27 2006 → Mar 28 2006

Other

Other	2006 IEEE Sarnoff Symposium
Country/Territory	United States
City	Princeton, NJ
Period	3/27/06 → 3/28/06

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering
Communication

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10.1109/SARNOF.2006.4534807

Cite this

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title = "Interferometric terahertz imaging for detection of lethal agents using artificial neural network analyses",

abstract = "Interferometric imaging is a non-invasive, non-contact method to detect concealed lethal agents employing spectral imaging in the terahertz (THz) range. Parallel to the experimental testing over short range, extensive modeling simulates reconstructed images of lethal agents at different frequencies applying interferometric techniques. Near-field correction to such imaging has been accounted for and edge probe algorithm and consequent artificial neural network analyses identify the agents under consideration. This work addresses the issues related to THz imaging for rapid and successful recognition of lethal agents in security screening.",

author = "Aparajita Bandyopadhyay and Sinyukov, {Alexander M.} and Amartya Sengupta and Dale Gary and John Federici and Robert Barat and Zoi-Heleni Michalopoulou",

year = "2006",

month = dec,

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doi = "10.1109/SARNOF.2006.4534807",

language = "English (US)",

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booktitle = "2006 IEEE Sarnoff Symposium",

note = "2006 IEEE Sarnoff Symposium ; Conference date: 27-03-2006 Through 28-03-2006",

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Interferometric terahertz imaging for detection of lethal agents using artificial neural network analyses. / Bandyopadhyay, Aparajita; Sinyukov, Alexander M.; Sengupta, Amartya; Gary, Dale ; Federici, John ; Barat, Robert ; Michalopoulou, Zoi-Heleni.

2006 IEEE Sarnoff Symposium. 2006. 4534807.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Interferometric terahertz imaging for detection of lethal agents using artificial neural network analyses

AU - Bandyopadhyay, Aparajita

AU - Sinyukov, Alexander M.

AU - Sengupta, Amartya

AU - Gary, Dale

AU - Federici, John

AU - Barat, Robert

AU - Michalopoulou, Zoi-Heleni

PY - 2006/12/1

Y1 - 2006/12/1

N2 - Interferometric imaging is a non-invasive, non-contact method to detect concealed lethal agents employing spectral imaging in the terahertz (THz) range. Parallel to the experimental testing over short range, extensive modeling simulates reconstructed images of lethal agents at different frequencies applying interferometric techniques. Near-field correction to such imaging has been accounted for and edge probe algorithm and consequent artificial neural network analyses identify the agents under consideration. This work addresses the issues related to THz imaging for rapid and successful recognition of lethal agents in security screening.

AB - Interferometric imaging is a non-invasive, non-contact method to detect concealed lethal agents employing spectral imaging in the terahertz (THz) range. Parallel to the experimental testing over short range, extensive modeling simulates reconstructed images of lethal agents at different frequencies applying interferometric techniques. Near-field correction to such imaging has been accounted for and edge probe algorithm and consequent artificial neural network analyses identify the agents under consideration. This work addresses the issues related to THz imaging for rapid and successful recognition of lethal agents in security screening.

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DO - 10.1109/SARNOF.2006.4534807

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BT - 2006 IEEE Sarnoff Symposium

T2 - 2006 IEEE Sarnoff Symposium

Y2 - 27 March 2006 through 28 March 2006

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Interferometric terahertz imaging for detection of lethal agents using artificial neural network analyses

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