Improved target signature definition for modeling performance of high-gain saturated imagery

Todd Du Bosq; Bradley Preece

doi:10.1117/12.851017

22 April 2010 Improved target signature definition for modeling performance of high-gain saturated imagery

Todd Du Bosq, Bradley Preece

Proceedings Volume 7662, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI; 76620N (2010) https://doi.org/10.1117/12.851017
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

Abstract

The standard model used to describe the performance of infrared sensors is the U.S. Army thermal target acquisition model, NVThermIP. The model is characterized by the apparent size and contrast of the target, and the resolution and sensitivity of the sensor. Currently, manual gain and level determine optimal contrast for military targets. The Night Vision models are calibrated to such images using a spatial average contrast consisting of the root sum squared of the difference between the target and background means, and the standard deviation of the target internal contrast. This definition of contrast applied to the model will show an unrealistic increase in performance for saturated targets. This paper presents a modified definition of target contrast for use in NVThermIP, including a threshold value for target to background mean difference and means to remove saturated pixels from the standard deviation of the target. Human perception experiments were performed and the measured results are compared with the predicted performance using the modified target contrast definition in NVThermIP.

Citation Download Citation

Todd Du Bosq and Bradley Preece "Improved target signature definition for modeling performance of high-gain saturated imagery", Proc. SPIE 7662, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI, 76620N (22 April 2010); https://doi.org/10.1117/12.851017

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