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Target acquisition modeling over the exact optical path: extending the EOSTAR TDA with the TOD sensor performance model

机译:目标采集在精确的光路上模拟:将Eostar TDA与TOD传感器性能模型扩展

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The Electro-Optical Signal Transmission and Ranging (EOSTAR) model is an image-based Tactical Decision Aid (TDA) for thermal imaging systems (MWIR/LWIR) developed for a sea environment with an extensive atmosphere model. The Triangle Orientation Discrimination (TOD) Target Acquisition model calculates the sensor and signal processing effects on a set of input triangle test pattern images, judges their orientation using humans or a Human Visual System (HVS) model and derives the system image quality and operational field performance from the correctness of the responses. Combination of the TOD model and EOSTAR, basically provides the possibility to model Target Acquisition (TA) performance over the exact path from scene to observer. In this method ship representative TOD test patterns are placed at the position of the real target, subsequently the combined effects of the environment (atmosphere, background, etc.), sensor and signal processing on the image are calculated using EOSTAR and finally the results are judged by humans. The thresholds are converted into Detection-Recognition-Identification (DRI) ranges of the real target. In experiments is shown that combination of the TOD model and the EOSTAR model is indeed possible. The resulting images look natural and provide insight in the possibilities of combining the two models. The TOD observation task can be done well by humans, and the measured TOD is consistent with analytical TOD predictions for the same camera that was modeled in the ECOMOS project.
机译:电光信号传输和测距(eostar)模型是用于热成像系统(MWIR / LWIR)的基于图像的战术决策辅助(TDA),用于具有广泛的大气模型的海洋环境。三角形取向判别(TOD)目标采集模型计算传感器和信号处理效果对一组输入三角形测试模式图像,使用人类或人类视觉系统(HVS)模型来判断它们的方向,并导出系统图像质量和操作场从反应的正确性中表现。 TOD模型和eostar的组合基本上提供了在从场景到观察者的确切路径上模拟目标采集(TA)性能的可能性。在该方法中,船舶代表性TOD测试模式放置在真实目标的位置,随后使用eostar计算图像上的环境(大气,背景等),传感器和信号处理的综合影响,最后计算结果由人类判断。阈值被转换为真实目标的检测识别识别(DRI)范围。在实验中,示出了TOD模型和迎料型模型的组合确实是可能的。由此产生的图像看起来很自然,并提供有关组合两种模型的可能性的洞察力。 TOD观察任务可以通过人类良好,测量的TOD与在ECOMOS项目中建模的相同相机的分析TOD预测一致。

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