
Proceedings Paper
Advanced terahertz imaging system performance model for concealed weapon identificationFormat | Member Price | Non-Member Price |
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Paper Abstract
The U.S. Army Night Vision and Electronic Sensors Directorate (NVESD) and the U.S. Army Research Laboratory
(ARL) have developed a terahertz-band imaging system performance model for detection and identification of
concealed weaponry. The details of this MATLAB-based model which accounts for the effects of all critical sensor and
display components, and for the effects of atmospheric attenuation, concealment material attenuation, and active
illumination, were reported on at the 2005 SPIE Europe Security and Defence Symposium. The focus of this paper is to
report on recent advances to the base model which have been designed to more realistically account for the dramatic
impact that target and background orientation can have on target observability as related to specular and Lambertian
reflections captured by an active-illumination-based imaging system. The advanced terahertz-band imaging system
performance model now also accounts for target and background thermal emission, and has been recast into a user-friendly,
Windows-executable tool. This advanced THz model has been developed in support of the Defense Advanced
Research Project Agency's (DARPA) Terahertz Imaging Focal-Plane Technology (TIFT) program. This paper will
describe the advanced THz model and its new radiometric sub-model in detail, and provide modeling and experimental
results on target observability as a function of target and background orientation.
Paper Details
Date Published: 10 May 2007
PDF: 15 pages
Proc. SPIE 6549, Terahertz for Military and Security Applications V, 654902 (10 May 2007); doi: 10.1117/12.723032
Published in SPIE Proceedings Vol. 6549:
Terahertz for Military and Security Applications V
James O. Jensen; Hong-Liang Cui, Editor(s)
PDF: 15 pages
Proc. SPIE 6549, Terahertz for Military and Security Applications V, 654902 (10 May 2007); doi: 10.1117/12.723032
Show Author Affiliations
Steven R. Murrill, Army Research Lab. (United States)
Brian Redman, Lockheed Martin Coherent Technologies (United States)
Richard L. Espinola, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Charmaine C. Franck, CACI Technologies Inc. (United States)
Douglas T. Petkie, Wright State Univ. (United States)
Brian Redman, Lockheed Martin Coherent Technologies (United States)
Richard L. Espinola, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Charmaine C. Franck, CACI Technologies Inc. (United States)
Douglas T. Petkie, Wright State Univ. (United States)
Frank C. De Lucia, The Ohio State Univ. (United States)
Eddie L. Jacobs, Univ. of Memphis (United States)
Steven T. Griffin, Univ. of Memphis (United States)
Carl E. Halford, Univ. of Memphis (United States)
Joe Reynolds, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Eddie L. Jacobs, Univ. of Memphis (United States)
Steven T. Griffin, Univ. of Memphis (United States)
Carl E. Halford, Univ. of Memphis (United States)
Joe Reynolds, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Published in SPIE Proceedings Vol. 6549:
Terahertz for Military and Security Applications V
James O. Jensen; Hong-Liang Cui, Editor(s)
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