首页> 外文会议>International Conference on Space Information Technology; 20071115-17; Wuhan(CN) >Ship Formation Recognition Based on Information Fusion of Spaceborne IMINT and ELINT
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Ship Formation Recognition Based on Information Fusion of Spaceborne IMINT and ELINT

机译:基于星载IMINT和ELINT信息融合的舰船编队识别

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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:本文提出了一种基于星载IMINT(图像智能)和ELINT(电子智能)信息融合的舰船编队识别方法。首先,从每艘船的星载IMINT信息中得出观察到的舰艇编队的组成和战斗阵列。关于观察到的编队的组成和战斗阵线的信念是分别计算的。使用综合评估方法,使用上述两个信念从IMINT信息中获取BPAF(基本概率分配函数)。其次,通过计算观测到的发射器组与典型地层实体的匹配度,获得基于ELINT信息的BPAF。第三,将基于星载IMINT和ELINT信息的两个BPAF与DS(Dempster-Shafer)证据理论相结合。最后,根据组合的BPAF做出决定。实验表明,与仅使用两种来源之一的结果相比,我们提出的获得BPAF的方法是可行的,并且地层识别精度大大提高。

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