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Standard Target Sets for Field Sensor Performance Measurements

机译:用于现场传感器性能测量的标准目标集

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The US Army Night Vision and Electronic Sensors Directorate (NVESD) Modeling and Simulation Division develops sensors models (FUR 92, NV Therm, NV Therm IP) that predict the comparative performance of electro-optical sensors. The NVESD modeling branch developed a 12-vehicle, 12-aspect target signature set in 1998 with a known cycle criteria. It will be referred to as the 12-target set. This 12-target set has and will continue to be the modeling "gold standard" for laboratory human perception experiments supporting sensor performance modeling, and has been employed in dozens of published experiments. The 12-target set is, however, too costly for most acquisition field tests and evaluations. The authors developed an 8-vehicle 3-aspect target set, referred to as the 8-target set, and measured its discrimination task difficulty, (N50 and V50). Target identification (ID) range performance predictions for several sensors were made based on those V50/N50 values. A field collection of the 8-target set using those sensors provided imagery for a human perception study. The human perception study found excellent agreement between predicted and measured range performance. The goal of this development is to create a "silver standard" target set that is as dependable in measuring sensor performance as the "gold standard", and is affordable for Milestone A and other field trials.
机译:美国陆军夜视和电子传感器局(NVESD)建模与仿真部开发了传感器模型(FUR 92,NV Therm,NV Therm IP),这些模型可预测电光传感器的比较性能。 NVESD建模部门在1998年开发了12车,12面靶标签名,并采用了已知的循环标准。它将被称为12目标集。这套12个目标的集合已经并将继续成为支持传感器性能建模的实验室人类感知实验的建模“金标准”,并且已在数十项已发布的实验中使用。但是,对于大多数采集现场测试和评估而言,12个目标的设置成本太高。作者开发了一种8车3面目标集,称为8目标集,并测量了其区分任务难度(N50和V50)。基于这些V50 / N50值,对几个传感器的目标识别(ID)范围性能进行了预测。使用这些传感器的8目标集的野外采集提供了用于人类感知研究的图像。人类感知研究发现,预期和实测测距性能之间有着极好的一致性。此开发的目标是创建一个“银标准”目标集,该目标集在测量传感器性能方面与“金标准”一样可靠,并且对于Milestone A和其他现场试验而言是可以承受的。

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