Modeling performance using sensor simulation and image metrics

Jonathan D. Fanning; Joseph P. Reynolds

doi:10.1117/12.851343

22 April 2010 Modeling performance using sensor simulation and image metrics

Proceedings Volume 7662, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI; 76620D (2010) https://doi.org/10.1117/12.851343
Event: SPIE Defense, Security, and Sensing, 2010, Orlando, Florida, United States

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.

Citation Download Citation

Jonathan D. Fanning and Joseph P. Reynolds "Modeling performance using sensor simulation and image metrics", Proc. SPIE 7662, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXI, 76620D (22 April 2010); https://doi.org/10.1117/12.851343

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