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Proceedings Paper

Improved image quality metric for predicting tactical vehicle indentification
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Paper Abstract

Three perception experiments were conducted to quantify the relationship between tactical military vehicle identification (ID) performance when using an imager and the Modulation Transfer Function and noise characteristics of that imager. The results of these experiments show that the limiting resolution metric provides a reasonably accurate prediction of target ID performance. For example, limiting resolution is a better predictor of performance than Modulation Transfer Function Area or Integrated Contrast Sensitivity. However, a metric consisting of integrating the square root of the product of Contrast Sensitivity and spatial frequency provides a better fit to data than limiting resolution. This paper describes the perception experiments and test results. The predictive capability of a selected group of image quality metrics is evaluated. This paper also discusses possible improvements to target acquisition performance models.

Paper Details

Date Published: 17 July 2000
PDF: 10 pages
Proc. SPIE 4030, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XI, (17 July 2000); doi: 10.1117/12.391789
Show Author Affiliations
Richard H. Vollmerhausen, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Ronald G. Driggers, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Michelle Tomkinson, U.S. Army Night Vision & Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 4030:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XI
Gerald C. Holst, Editor(s)

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