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Proceedings Paper

Modeling performance using sensor simulation and image metrics
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Paper Abstract

This paper presents an image-based model for target identification performance. This model is intended as an alternative to existing linear models such as NVThermIP. The image-based model allows arbitrary non-linear image processing to be applied to actual images which are compared using a human perception model. This model simulates an image from a given sensor and compares the simulated image to a reference high-quality image. For a given target set, the imagebased model generates a confusion matrix which is used to calculate the average probability of identification. The perception metric used to compare the images is a multiscale version of the SSIM. The output of the image-based model is reasonably close to the output of the NVThermIP theory when tested on a standard linear sensor system. The output also agrees well with data from a human perception test.

Paper Details

Date Published: 22 April 2010
PDF: 12 pages
Proc. SPIE 7662, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI, 76620D (22 April 2010); doi: 10.1117/12.851343
Show Author Affiliations
Jonathan D. Fanning, U.S. Army Night Vision & Electronic Sensors Directorate (United States)
Joseph P. Reynolds, U.S. Army Night Vision & Electronic Sensors Directorate (United States)


Published in SPIE Proceedings Vol. 7662:
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI
Gerald C. Holst; Keith A. Krapels, Editor(s)

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