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Proceedings Paper

Blackbox imager characterization, from measurements to modeling range performance
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Paper Abstract

Typically, the modeling of linear and shift-invariant (LSI) imaging systems requires a complete description of each subcomponent in order to estimate the final system transfer function. To validate the modeled behavior, measurements are performed on each component. When dealing with packaged systems, there are many situations where some, if not all, data is unknown. For these cases, the system is considered a blackbox, and system level measurements are used to estimate the transfer characteristics in order to model performance. This correspondence outlines the blackbox measured system component in the Night Vision Integrated Performance Model (NV-IPM). We describe how estimates of performance can be achieved with complete or incomplete measurements and how assumptions affect the final range. The blackbox measured component is the final output of a measurement characterization and is used to validate performance of delivered and prototype systems.

Paper Details

Date Published: 12 May 2015
PDF: 8 pages
Proc. SPIE 9452, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVI, 945202 (12 May 2015); doi: 10.1117/12.2180386
Show Author Affiliations
David P. Haefner, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Stephen D. Burks, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Brian P. Teaney, U.S. Army Night Vision and Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 9452:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXVI
Gerald C. Holst; Keith A. Krapels, Editor(s)

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