Terahertz imaging performance model for concealed weapon identification

Eddie Jacobs; Ronald G. Driggers; Keith Krapels; Frank C. De Lucia; Douglas Petkie

doi:10.1117/12.579768

Terahertz imaging performance model for concealed weapon identification

Eddie Jacobs, Ronald G. Driggers, Keith Krapels, Frank C. De Lucia, Douglas Petkie

Research output: Contribution to journal › Conference article › peer-review

7 Scopus citations

Abstract

Terahertz imaging is becoming more viable for many applications due to advances in detector and emitter technologies. One of the applications for THz imaging is the detection and identification of concealed weapons (e.g., in airport security screening lines). The path described here provides an imaging performance model for the application of concealed weapon identification. The approach is the typical U.S. Army target acquisition model for sensor performance prediction coupled to the acquire methodology for weapon identification performance prediction.

Original language	English (US)
Article number	12
Pages (from-to)	98-107
Number of pages	10
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5619
DOIs	https://doi.org/10.1117/12.579768
State	Published - 2004
Externally published	Yes
Event	Passive Millimetre-Wave and Terahertz Imaging and Technology - London, United Kingdom Duration: Oct 27 2004 → Oct 28 2004

Keywords

Color
Electro-Optics Performance Modeling
Signal to Noise
Target Acquisition

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.579768

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title = "Terahertz imaging performance model for concealed weapon identification",

abstract = "Terahertz imaging is becoming more viable for many applications due to advances in detector and emitter technologies. One of the applications for THz imaging is the detection and identification of concealed weapons (e.g., in airport security screening lines). The path described here provides an imaging performance model for the application of concealed weapon identification. The approach is the typical U.S. Army target acquisition model for sensor performance prediction coupled to the acquire methodology for weapon identification performance prediction.",

keywords = "Color, Electro-Optics Performance Modeling, Signal to Noise, Target Acquisition",

author = "Eddie Jacobs and Driggers, {Ronald G.} and Keith Krapels and {De Lucia}, {Frank C.} and Douglas Petkie",

year = "2004",

doi = "10.1117/12.579768",

language = "English (US)",

volume = "5619",

pages = "98--107",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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note = "Passive Millimetre-Wave and Terahertz Imaging and Technology ; Conference date: 27-10-2004 Through 28-10-2004",

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T1 - Terahertz imaging performance model for concealed weapon identification

AU - Jacobs, Eddie

AU - Driggers, Ronald G.

AU - Krapels, Keith

AU - De Lucia, Frank C.

AU - Petkie, Douglas

PY - 2004

Y1 - 2004

N2 - Terahertz imaging is becoming more viable for many applications due to advances in detector and emitter technologies. One of the applications for THz imaging is the detection and identification of concealed weapons (e.g., in airport security screening lines). The path described here provides an imaging performance model for the application of concealed weapon identification. The approach is the typical U.S. Army target acquisition model for sensor performance prediction coupled to the acquire methodology for weapon identification performance prediction.

AB - Terahertz imaging is becoming more viable for many applications due to advances in detector and emitter technologies. One of the applications for THz imaging is the detection and identification of concealed weapons (e.g., in airport security screening lines). The path described here provides an imaging performance model for the application of concealed weapon identification. The approach is the typical U.S. Army target acquisition model for sensor performance prediction coupled to the acquire methodology for weapon identification performance prediction.

KW - Color

KW - Electro-Optics Performance Modeling

KW - Signal to Noise

KW - Target Acquisition

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M3 - Conference article

AN - SCOPUS:17644412867

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SP - 98

EP - 107

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

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T2 - Passive Millimetre-Wave and Terahertz Imaging and Technology

Y2 - 27 October 2004 through 28 October 2004

ER -

Terahertz imaging performance model for concealed weapon identification

Abstract

Keywords

ASJC Scopus subject areas

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