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Spatial frequency dependence of target signature for infrared performance modelingFormat | Member Price | Non-Member Price |
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Paper Abstract
The standard model used to describe the performance of infrared imagers is the U.S. Army imaging system target
acquisition model, based on the targeting task performance metric. The model is characterized by the resolution and
sensitivity of the sensor as well as the contrast and task difficulty of the target set. The contrast of the target is defined as
a spatial average contrast. The model treats the contrast of the target set as spatially white, or constant, over the bandlimit
of the sensor. Previous experiments have shown that this assumption is valid under normal conditions and typical
target sets. However, outside of these conditions, the treatment of target signature can become the limiting factor
affecting model performance accuracy. This paper examines target signature more carefully. The spatial frequency
dependence of the standard U.S. Army RDECOM CERDEC Night Vision 12 and 8 tracked vehicle target sets is
described. The results of human perception experiments are modeled and evaluated using both frequency dependent and
independent target signature definitions. Finally the function of task difficulty and its relationship to a target set is
discussed.
Paper Details
Date Published: 10 May 2011
PDF: 10 pages
Proc. SPIE 8014, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII, 80140M (10 May 2011); doi: 10.1117/12.885259
Published in SPIE Proceedings Vol. 8014:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII
Gerald C. Holst; Keith A. Krapels, Editor(s)
PDF: 10 pages
Proc. SPIE 8014, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII, 80140M (10 May 2011); doi: 10.1117/12.885259
Show Author Affiliations
Todd Du Bosq, U.S. Army RDECOM CERDEC Night Vision & Electronic Sensors Directorate (United States)
Jeffrey Olson, U.S. Army RDECOM CERDEC Night Vision & Electronic Sensors Directorate (United States)
Published in SPIE Proceedings Vol. 8014:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXII
Gerald C. Holst; Keith A. Krapels, Editor(s)
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