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Abstract. Prediction of the operational performance of a forward-looking infrared (FLIR)
system requires a computer model accounting for the principal variables
affecting classification range. The range performance is degraded by many
factors, including sensor resolution, atmospheric attenuation, platform vibration and visual
display information. The Tenix FLIR_P Performance Model was developed to
estimate the classification range of an electro-optic sensor, and provides
comparative performance estimates for different system configurations and operational conditions.
Results are presented for classification range prediction and its variation
with absolute humidity in the 3-5 mm infrared band as
used in some airborne thermal imaging systems.
Related topics:
thermal imagers, surveillance and target acquisition
View first page of "Benke: Modeling the Performance of an Airborne Forward-looking Infrared System in the Australian Environment"
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