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

机译:广域地面监视系统的可互操作ISR系统中传感器数据融合的各个方面

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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〜4ISTAR信息“系统系统”的上下文中,我们讨论了传感器数据融合方面,这些方面旨在根据数据融合的JDL模型生成更高级别的信息。尤其要解决两个问题:(1)跟踪派生的情境元素:标准目标跟踪应用程序根据公认的JDL模型术语获得与“ 1级融合”有关的信息。但是,这种运动学数据绝不是唯一从目标轨迹中导出的信息。在许多情况下,可以获得根据JDL术语的可靠且定量的高级信息。 (2)跟踪数据库中的异常检测:异常检测可以看作是一种信息融合过程,旨在将人类决策者或决策系统的注意力集中在“不规则”或可能造成伤害并因此需要的特定事件上。特殊动作。

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