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Aspects of Sensor Data Fusion in Interoperable ISR Systems of Systems for Wide-area Ground Surveillance

机译:广域地面监视系统互操作性ISR系统中的传感器数据融合的方面

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Within the context of C~4ISTAR information "systems of systems", we discuss sensor data fusion aspects that are aiming at the generation of higher-level information according to the JDL model of data fusion. In particular, two issues are addressed: (1) Tracking-derived Situation Elements: Standard target tracking applications gain information related to 'Level 1 Fusion' according to the well-established terminology of the JDL model. Kinematic data of this type, however, are by no means the only information to be derived from target tracks. In many cases, reliable and quantitative higher level information according to the JDL terminology can be obtained. (2) Anomaly Detection in Tracking Data Bases: Anomaly detection can be regarded as a process of information fusion that aims at focusing the attention of human decision makers or decision making systems on particular events that are "irregular" or may cause harm and thus require special actions.
机译:在C〜4 istar信息“系统系统”的背景下,我们讨论了根据数据融合的JDL模型的旨在产生更高级别信息的传感器数据融合方面。特别是,解决了两个问题:(1)跟踪衍生的情况元素:标准目标跟踪应用程序根据JDL模型的良好良好的术语获得与“级别1融合”相关的信息。然而,这种类型的运动数据绝不是唯一可以从目标轨道派生的信息。在许多情况下,可以获得根据JDL术语的可靠和定量更高级别信息。 (2)追踪数据库的异常检测:异常检测可以被视为信息融合过程,旨在将人类决策者注意力的注意力集中在“不规则”或可能造成伤害的特定事件上的注意力或决策制度特殊行动。

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