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Terahertz imaging system performance model for concealed-weapon identification
Author(s) -
Steven R. Murrill,
Eddie L. Jacobs,
Steven K. Moyer,
Carl E. Halford,
Steven T. Griffin,
Frank C. De Lucia,
Douglas T. Petkie,
Charmaine C. Franck
Publication year - 2008
Publication title -
applied optics
Language(s) - English
Resource type - Journals
ISSN - 0003-6935
DOI - 10.1364/ao.47.001286
Subject(s) - terahertz radiation , computer science , attenuation , identification (biology) , matlab , optics , remote sensing , imaging technology , night vision , artificial intelligence , physics , geology , botany , biology , operating system
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.

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