Sensor performance as a function of sampling (d) and optical blur (Fλ)

摘要: Detector sampling and optical blur are two major factors affecting Target Acquisition (TA) performance with modern EO IR systems. In order to quantify their relative significance, we simulated five realistic LWIR MWIR sensors from very under-sampled (detector pitch d >> diffraction Fλ) well-sampled (Fλ d). Next, measured TOD (Triangle Orientation Discrimination) sensor curve. The results show a region that is clearly detectorlimited, diffraction-limited, transition area. For high contrast target, threshold size TFPA on the focal plane can mathematically be described simple linear expression: =1.5·d ·w(d/Fλ) + 0.95· Fλ·w(Fλ/d), w being steep weighting function between 0 1. tacticle vehicle identification range predictions TA model TTP (Targeting Task Performance) where compared ranges human observers. excellently predicts for both sensors. While earlier versions (2001, 2005) showed pronounced difference in weight of range, newest (2008) version considers in-band aliasing remarkably close TOD. conclusion, methodology now provides solid laboratory test, Monte Carlo simulation assess physics, prediction analytical expression quickly predict as blur. approaches respect field prediction. Keywords: TOD, TTP, Acquisition, prediction, blur, detector