Paper
22 April 2009 Range performance impact of noise for thermal system modeling
Author Affiliations +
Abstract
This paper presents a comparison of the predictions of NVThermIP to human perception experiment results in the presence of large amounts of noise where the signal to noise ratio is around 1. First, the calculations used in the NVESD imager performance models that deal with sensor noise are described outlining a few errors that appear in the NVThermIP code. A perception experiment is designed to test the range performance predictions of NVThermIP with varying amounts of noise and varying frame rates. NVThermIP is found to overestimate the impact of noise, leading to pessimistic range performance predictions for noisy systems. The perception experiment results are used to find a best fit value of the constant α used to relate system noise to eye noise in the NVESD models. The perception results are also fit to an alternate eye model that handles frame rates below 30Hz and smoothly approaches an accurate prediction of the performance in the presence of static noise. The predictions using the fit data show significantly less error than the predictions from the current model.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathan D. Fanning, Brian P. Teaney, Joseph P. Reynolds, and Todd W. Du Bosq "Range performance impact of noise for thermal system modeling", Proc. SPIE 7300, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XX, 730004 (22 April 2009); https://doi.org/10.1117/12.817824
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Eye

NVThermIP

Eye models

Data modeling

Sensors

Targeting Task Performance metric

Systems modeling

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