RDX Detection with THz Spectroscopy
Spectroscopic analysis in the Terahertz frequency range, providing characteristic “signatures” for explosive and non-explosive materials, is proposed as an efficient and powerful tool for explosive identification. It is demonstrated that spectral responses of materials can be used as fingerprints th...
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Veröffentlicht in: | Journal of infrared, millimeter and terahertz waves millimeter and terahertz waves, 2010-10, Vol.31 (10), p.1171-1181 |
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container_title | Journal of infrared, millimeter and terahertz waves |
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creator | Michalopoulou, Zoi-Heleni Mukherjee, Suman Hor, Yew Li Su, Ke Liu, Zhiwei Barat, Robert B. Gary, Dale E. Federici, John F. |
description | Spectroscopic analysis in the Terahertz frequency range, providing characteristic “signatures” for explosive and non-explosive materials, is proposed as an efficient and powerful tool for explosive identification. It is demonstrated that spectral responses of materials can be used as fingerprints that distinguish cyclotrimethylenetrinitramine (RDX) from other materials even with simple detectors and a limited number of available frequencies. Detection is performed using a modified least squares approach and multilayer perceptrons that operate on smoothed reflectance spectra. The performance of the detectors is evaluated through application to spectra of RDX and several common materials. A Receiver Operating Characteristic curve analysis demonstrates that our detectors exhibit the desirable properties of high probability of detection and low probability of false alarm. |
doi_str_mv | 10.1007/s10762-010-9693-1 |
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It is demonstrated that spectral responses of materials can be used as fingerprints that distinguish cyclotrimethylenetrinitramine (RDX) from other materials even with simple detectors and a limited number of available frequencies. Detection is performed using a modified least squares approach and multilayer perceptrons that operate on smoothed reflectance spectra. The performance of the detectors is evaluated through application to spectra of RDX and several common materials. A Receiver Operating Characteristic curve analysis demonstrates that our detectors exhibit the desirable properties of high probability of detection and low probability of false alarm.</description><identifier>ISSN: 1866-6892</identifier><identifier>EISSN: 1866-6906</identifier><identifier>DOI: 10.1007/s10762-010-9693-1</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Classical Electrodynamics ; Detectors ; Electrical Engineering ; Electronics and Microelectronics ; Engineering ; Explosions ; False alarms ; Frequency ranges ; Infrared ; Instrumentation ; Least squares method ; Multilayer perceptrons ; RDX ; Reflectance ; Reflectivity ; Sensors ; Spectra ; Spectrum analysis ; Terahertz frequencies</subject><ispartof>Journal of infrared, millimeter and terahertz waves, 2010-10, Vol.31 (10), p.1171-1181</ispartof><rights>Springer Science+Business Media, LLC 2010</rights><rights>Journal of Infrared, Millimeter, and Terahertz Waves is a copyright of Springer, (2010). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c348t-14ae4dca7a102c364f2ac5e342119617726b3069d5f53dcab86c4ed5d5b817c13</citedby><cites>FETCH-LOGICAL-c348t-14ae4dca7a102c364f2ac5e342119617726b3069d5f53dcab86c4ed5d5b817c13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10762-010-9693-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10762-010-9693-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Michalopoulou, Zoi-Heleni</creatorcontrib><creatorcontrib>Mukherjee, Suman</creatorcontrib><creatorcontrib>Hor, Yew Li</creatorcontrib><creatorcontrib>Su, Ke</creatorcontrib><creatorcontrib>Liu, Zhiwei</creatorcontrib><creatorcontrib>Barat, Robert B.</creatorcontrib><creatorcontrib>Gary, Dale E.</creatorcontrib><creatorcontrib>Federici, John F.</creatorcontrib><title>RDX Detection with THz Spectroscopy</title><title>Journal of infrared, millimeter and terahertz waves</title><addtitle>J Infrared Milli Terahz Waves</addtitle><description>Spectroscopic analysis in the Terahertz frequency range, providing characteristic “signatures” for explosive and non-explosive materials, is proposed as an efficient and powerful tool for explosive identification. It is demonstrated that spectral responses of materials can be used as fingerprints that distinguish cyclotrimethylenetrinitramine (RDX) from other materials even with simple detectors and a limited number of available frequencies. Detection is performed using a modified least squares approach and multilayer perceptrons that operate on smoothed reflectance spectra. The performance of the detectors is evaluated through application to spectra of RDX and several common materials. A Receiver Operating Characteristic curve analysis demonstrates that our detectors exhibit the desirable properties of high probability of detection and low probability of false alarm.</description><subject>Classical Electrodynamics</subject><subject>Detectors</subject><subject>Electrical Engineering</subject><subject>Electronics and Microelectronics</subject><subject>Engineering</subject><subject>Explosions</subject><subject>False alarms</subject><subject>Frequency ranges</subject><subject>Infrared</subject><subject>Instrumentation</subject><subject>Least squares method</subject><subject>Multilayer perceptrons</subject><subject>RDX</subject><subject>Reflectance</subject><subject>Reflectivity</subject><subject>Sensors</subject><subject>Spectra</subject><subject>Spectrum analysis</subject><subject>Terahertz frequencies</subject><issn>1866-6892</issn><issn>1866-6906</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1kE9LAzEQxYMoWKsfwNtCD56imfzdHKVVKxQEreAtpNmsbml312SL1E9vllUEwdMMw-895j2EzoFcAiHqKgJRkmICBGupGYYDNIJcSiw1kYc_e67pMTqJcU2I5FzLEZo8zl6yme-866qmzj6q7i1bzj-zpzZdQhNd0-5P0VFpN9Gffc8xer69WU7nePFwdz-9XmDHeN5h4NbzwlllgVDHJC-pdcIzTgG0BKWoXDEidSFKwRK3yqXjvhCFWOWgHLAxuhh829C873zszLaKzm82tvbNLhpNlOZCaZ3IyR9y3exCnZ4zlAotUs5cJgoGyqUgMfjStKHa2rA3QEzfmhlaM6k107dm-h_ooImJrV99-HX-X_QFv5xs1g</recordid><startdate>20101001</startdate><enddate>20101001</enddate><creator>Michalopoulou, Zoi-Heleni</creator><creator>Mukherjee, Suman</creator><creator>Hor, Yew Li</creator><creator>Su, Ke</creator><creator>Liu, Zhiwei</creator><creator>Barat, Robert B.</creator><creator>Gary, Dale E.</creator><creator>Federici, John F.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20101001</creationdate><title>RDX Detection with THz Spectroscopy</title><author>Michalopoulou, Zoi-Heleni ; 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subjects | Classical Electrodynamics Detectors Electrical Engineering Electronics and Microelectronics Engineering Explosions False alarms Frequency ranges Infrared Instrumentation Least squares method Multilayer perceptrons RDX Reflectance Reflectivity Sensors Spectra Spectrum analysis Terahertz frequencies |
title | RDX Detection with THz Spectroscopy |
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