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Proceedings Paper

Predicting imaging performance in turbulence
Author(s): Sara Johnson; Eddie L. Jacobs; Richard H. Vollmerhausen
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Paper Abstract

Estimates of the performance of an imager working in a turbulent atmosphere can often be obtained if an estimate of the index of refraction structure constant Cn2 is available. In this paper, results from predictive parametric models for are compared with long-term measurements of Cn2. A brief overview of imaging in turbulence is given. The impact of turbulence on imager performance and models to account for it are reviewed. This is followed by a presentation of the methods used to collect Cn2 data. Some published parametric models for predicting based on meteorological data are reviewed. These models are then compared with Cn2 measurements taken over several years. Performance of the models as a function of time of day and season of year are shown. General conclusions regarding the utility of using these models to predict system performance are presented.

Paper Details

Date Published: 5 August 2004
PDF: 8 pages
Proc. SPIE 5407, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XV, (5 August 2004); doi: 10.1117/12.544535
Show Author Affiliations
Sara Johnson, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Eddie L. Jacobs, U.S. Army Night Vision and Electronic Sensors Directorate (United States)
Richard H. Vollmerhausen, U.S. Army Night Vision and Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 5407:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XV
Gerald C. Holst, Editor(s)

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