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

3 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 - 2006
Event	2006 IEEE Sarnoff Symposium - Princeton, NJ, United States Duration: Mar 27 2006 → Mar 28 2006

Publication series

Name	2006 IEEE Sarnoff Symposium

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

Keywords

Artificial neural networks
Detection of concealed agents
Interferometric arrays
Kohonen self organizing maps
Terahertz imaging

Access to Document

10.1109/SARNOF.2006.4534807

Cite this

@inproceedings{55b77ca29464463a8aebed1c7554fbae,

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.",

keywords = "Artificial neural networks, Detection of concealed agents, Interferometric arrays, Kohonen self organizing maps, Terahertz imaging",

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",

doi = "10.1109/SARNOF.2006.4534807",

language = "English (US)",

isbn = "1424400023",

series = "2006 IEEE Sarnoff Symposium",

booktitle = "2006 IEEE Sarnoff Symposium",

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

}

Bandyopadhyay, A, Sinyukov, AM, Sengupta, A, Gary, D , Federici, J, Barat, R & Michalopoulou, Z-H 2006, Interferometric terahertz imaging for detection of lethal agents using artificial neural network analyses. in 2006 IEEE Sarnoff Symposium., 4534807, 2006 IEEE Sarnoff Symposium, 2006 IEEE Sarnoff Symposium, Princeton, NJ, United States, 3/27/06. https://doi.org/10.1109/SARNOF.2006.4534807

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

Y1 - 2006

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.

KW - Artificial neural networks

KW - Detection of concealed agents

KW - Interferometric arrays

KW - Kohonen self organizing maps

KW - Terahertz imaging

UR - http://www.scopus.com/inward/record.url?scp=50649098073&partnerID=8YFLogxK

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U2 - 10.1109/SARNOF.2006.4534807

DO - 10.1109/SARNOF.2006.4534807

M3 - Conference contribution

AN - SCOPUS:50649098073

SN - 1424400023

SN - 9781424400027

T3 - 2006 IEEE Sarnoff Symposium

BT - 2006 IEEE Sarnoff Symposium

T2 - 2006 IEEE Sarnoff Symposium

Y2 - 27 March 2006 through 28 March 2006

ER -

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

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

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