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Sensor performance conversions for infrared target acquisition and intelligence-surveillance-reconnaissance imaging sensors

机译:用于红外目标捕获和情报监视侦察成像传感器的传感器性能转换

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摘要

Target acquisition infrared imaging sensors are characterized by their minimum resolvable temperature parameter that is translated to the probability of identification (Pid) performance estimate for a given target. Intelligence-surveillance-reconnaissance (ISR) sensors are characterized by the general image quality equation to,give a national imagery interpretability rating scale (NIIRS) performance estimate. Sensors, such as those on Predator and Global Hawk, will soon be used for both ISR and target acquisition purposes. We present a performance conversion that includes both sensor resolution and sensitivity. We also provide the first empirical results to our knowledge ever to be presented that relate NIIRS and Pid for a given set oftargets.
机译:目标采集红外成像传感器的特征在于其最小可分辨温度参数,该参数可转换为给定目标的识别概率(Pid)性能估计。情报监视侦察(ISR)传感器的特征在于一般的图像质量方程式,以提供国家图像可解释性等级量表(NIIRS)性能估计。诸如Predator和Global Hawk上的传感器等传感器将很快用于ISR和目标获取目的。我们提出了包括传感器分辨率和灵敏度在内的性能转换。我们还提供了有史以来第一个经验性结果,这些结果与给定目标集的NIIRS和Pid相关。

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