Evaluation of Range Estimation Performance of FLIR with Field Requirements Criteria

B. Akin
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Abstract

Thermal imaging performance depends on many variables, ranging from the properties of the imaged object to atmospheric transmittance and system parameters. After clarification of the functional needs in system design or procurement, system parameters of the design that can meet these needs should be determined. Diagnosis/recognition from a distance is one of the foremost of these needs. The following briefly introduces the Forward Looking Infrared (FLIR) systems, followed by explanations for calculating the theoretical diagnostic range. After the theoretical information, sample systems are given, and high-performance FLIR systems are presented. To accurately analyze, measure and predict the performance of FLIR systems, a model should calculate summary performance measures of the system in the form of Minimum Resolvable Temperature (MRT) and Modulation Transfer Function (MTF) between a target and its background and estimate range for a given scenario electro-optical required for the performance evaluation of the system. The accuracy of these calculations will ultimately determine the accuracy of the model by which the performance of the FLIR system is evaluated.
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用现场需求标准评价前视红外距离估计性能
热成像性能取决于许多变量,从被成像物体的特性到大气透射率和系统参数。在系统设计或采购中明确了功能需求后,应确定满足这些需求的设计系统参数。远距离诊断/识别是这些需求中最重要的需求之一。本文简要介绍了前视红外(FLIR)系统,并对理论诊断距离的计算方法进行了说明。在介绍了理论信息后,给出了样机系统,并给出了高性能的前视红外系统。为了准确地分析、测量和预测FLIR系统的性能,一个模型应该以目标与其背景之间的最小可分辨温度(MRT)和调制传递函数(MTF)的形式计算系统的综合性能度量,并估计系统性能评估所需的给定场景电光的范围。这些计算的准确性将最终决定评估前视红外系统性能的模型的准确性。
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