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Proceedings Paper

Assessment of 3D noise methodology for thermal sensor simulation
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Paper Abstract

An approach to determining the fidelity of synthetic noise based on the NVESD 3-D noise methodology is introduced. After reviewing the theory of 3-D noise analysis, three methods for the generation of synthetic noise are outlined: power spectrum matching, physical noise modeling, and 3-D noise parameter inversion. Real and synthetic noise samples from a staring thermal sensor were analyzed using a 3-D noise analysis. A series of simulated minimum resolvable temperature difference (MRTD) experiments using real and synthetic noise were also conducted. Results from the analysis and the MRTD indicate that modifications to the 3-D noise parameter inversion method could provide a more accurate match to real MRTDs. In addition, the MRTD method used in this research could be used to quantify the relative impact of each component of the 3-D noise model.

Paper Details

Date Published: 10 September 2001
PDF: 8 pages
Proc. SPIE 4372, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XII, (10 September 2001); doi: 10.1117/12.439150
Show Author Affiliations
Eddie L. Jacobs, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Jae Cha, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Keith A. Krapels, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Van A. Hodgkin, SAIC (United States)


Published in SPIE Proceedings Vol. 4372:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XII
Gerald C. Holst, Editor(s)

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