The US Army Night Vision and Electronic Sensors Directorate’s Night Vision Integrated Performance Model (NVIPM) is a robust, comprehensive, and sophisticated model that calculates the performance of an infrared imager in the task of target acquisition. The inputs are specifics about the target, atmosphere, optics, detector, electronics, and display and the outputs are probabilities of target detection, recognition, and identification. NVIPM is complicated and takes a good bit of time to master obtaining correct answers based on numerous assumptions and modeling experience. For midwave infrared (MWIR) and longwave infrared (LWIR) sensors, past research has shown that imaging system performance is strongly related to Fλ / d, where F is the f-number, λ is the wavelength, and d is the detector pitch. Fλ / d provides a metric that relates how closely to diffraction-limited performance a sensor operates. We use the past Fλ / d work to develop a simple model that provides probability of target discrimination as a function of range that can be performed with a simple hand calculator or spreadsheet. We compare this model to the NVIPM calculations on 10 very disparate MWIR and LWIR sensors to show robust agreement. We also describe the conditions under which the simple model is valid.

中文翻译：

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基于Fλ / d的简单目标获取模型

美国陆军夜视和电子传感器局的夜视综合性能模型（NVIPM）是一种健壮，全面且复杂的模型，可计算红外成像仪在目标获取任务中的性能。输入是有关目标，大气，光学，探测器，电子设备和显示器的详细信息，输出是目标检测，识别和识别的概率。NVIPM非常复杂，并且需要花费大量时间来基于众多假设和建模经验来掌握如何获得正确答案。对于中波红外（MWIR）和长波红外（LWIR）传感器，过去的研究表明，成像系统的性能与Fλ/ d密切相关，其中F为f数，λ为波长，d为检测器间距。Fλ/ d提供了一个度量，该度量与传感器操作与衍射极限性能的接近程度有关。我们使用过去的Fλ/ d工作来开发一个简单的模型，该模型提供目标辨别概率与范围的函数关系，可以使用简单的手动计算器或电子表格执行该模型。我们将此模型与10个非常不同的MWIR和LWIR传感器的NVIPM计算进行了比较，以显示出稳健的一致性。我们还描述了简单模型有效的条件。