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Ship Formation Recognition Based on Information Fusion of Spaceborne IMINT and ELINT

机译:基于空间素材和椭圆的信息融合的船舶形成识别

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A method of ship formation recognition is proposed based on the information fusion of spaceborne IMINT (image intelligence) and ELINT (electronic intelligence) in this paper. Firstly, the composition and the battle array of the observed ship formation are derived from the spaceborne IMINT information of each individual ship. The beliefs about the composition and the battle array of the observed formation are calculated separately. A synthetic evaluation method is used to get the BPAF (basic probability assignment function) from IMINT information using the aforementioned two beliefs. Secondly, by computing the matching measure between the observed emitter set and that of the typical formation entity, the BPAF based on ELINT information is obtained. Thirdly, the two BPAFs based on the information of spaceborne IMINT and ELINT are combined with DS (Dempster-Shafer) evidence theory. Finally, a decision is made according to the combined BPAF. The experiment indicates that our proposed methods to obtain the BPAFs are practicable and the formation recognition accuracy is greatly improved compared to the results which use only one of the two sources.
机译:基于本文的空间素材(图像智能)和闪光(电子智能)的信息融合,提出了一种船舶形成识别方法。首先,观察到的船舶形成的组成和战斗阵列源自每个单独船的星载型素材信息。关于组成和观察到的形成的抗战阵列的信念是单独计算的。合成评估方法用于使用上述两种信仰从伊米特信息获取BPAF(基本概率分配函数)。其次,通过计算观察到的发射器集之间的匹配度量和典型的形成实体的匹配度量,获得基于椭圆信息的BPAF。第三,三个基于星载素材和闪白信息的BPAFS与DS(Dempster-Shafer)证据理论相结合。最后,根据组合的BPAF进行决定。实验表明,我们所提出的获得BPAFS的方法是切实可行的,与仅使用两个来源中的一个的结果相比,形成识别准确度大大提高。

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