Terahertz imaging system performance model for concealed-weapon identification
Applied Optics, Vol. 47, Issue 9, pp. 1286-1297 doi:10.1364/AO.47.001286
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- OCIS Codes:
- (110.3000) Imaging systems : Image quality assessment
- (110.4100) Imaging systems : Modulation transfer function
- (220.4830) Optical design and fabrication : Systems design
- (110.6795) Imaging systems : Terahertz imaging
Instrumentation, Measurement, and Metrology
Citation
Steven R. Murrill, Eddie L. Jacobs, Steven K. Moyer, Carl E. Halford, Steven T. Griffin, Frank C. De Lucia, Douglas T. Petkie, and Charmaine C. Franck, "Terahertz imaging system performance model for concealed-weapon identification," Appl. Opt. 47, 1286-1297 (2008)
http://www.opticsinfobase.org/abstract.cfm?URI=ao-47-9-1286
Abstract
The U.S. Army Night Vision and Electronic Sensors Directorate (NVESD) and the U.S. Army Research Laboratory have developed a terahertz (THz) -band imaging system performance model for detection and identification of concealed weaponry. The MATLAB-based model accounts for the effects of all critical sensor and display components and for the effects of atmospheric attenuation, concealment material attenuation, and active illumination. The model is based on recent U.S. Army NVESD sensor performance modeling technology that couples system design parameters to observer-sensor field performance by using the acquire methodology for weapon identification performance predictions. This THz model has been developed in support of the Defense Advanced Research Project Agencies' Terahertz Imaging Focal-Plane Technology (TIFT) program and is currently being used to guide the design and development of a 0.650 THz active-passive imaging system. This paper will describe the THz model in detail, provide and discuss initial modeling results for a prototype THz imaging system, and outline plans to calibrate and validate the model through human perception testing.
© 2008 Optical Society of America
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History
Original Manuscript: October 2, 2007
Manuscript Accepted: November 20, 2007
Published: March 18, 2008
References
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Author Affiliations
Army Research Laboratory
CACI Technologies Incorporated
Ohio State University
U.S. Army Night Vision and Electronic Sensors Directorate
University of Memphis
Wright State University
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