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Assessing the search and detection problem via the FLIR target acquisition model (FTAM)

机译:通过FLIR目标获取模型(FTAM)评估搜索和检测问题

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The FLIR Target Acquisition Model (FTAM) is an analytical tool used to evaluate range performance for man-in-the-loop target acquisition systems operating in the infrared spectral band. It represents an aggregation of the latest research done involving object detection by such authorities as Raytheon Missile Systems Company (RMSC), Georgia Technological Research Institute (GTRI), and The Institute for Defense Analysis (IDA). The Static and Dynamic probabilities of detection predicted by the model represent the expected performance achieved with a given sensor with regards to sensor characteristics, target signature, background clutter, and human observer psychophysics effects. This paper will address the methodology of FTAM's prediction method and present comparisons to the U.S. Army Night Vision and Electronic Sensor Directorate (NVESD) ACQUIRE 1.0 Range Performance Model for Target Acquisition Systems. FTAM results will be compared against available measured NVESD data to quantify its predictive capability.
机译:FLIR目标采集模型(FTAM)是用于评估在红外光谱带中操作的环路目标采集系统的范围性能的分析工具。它代表了涉及由雷神导弹系统公司(RMSC),佐治亚州技术研究所(GTRI)和国防分析研究所(IDA)的对象检测的最新研究的汇总。模型预测的检测的静态和动态概率代表了对传感器特征,目标签名,背景杂波和人观察者心理物理学效应的给定传感器实现的预期性能。本文将解决自然保运区预测方法的方法,并对美国陆军夜视和电子传感器监管(NVESD)的比较,获取目标采集系统的1.0系列性能模型。将与可用测量的NVESD数据进行比较FTAM结果以量化其预测能力。

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