Abstract
The issue of the target aggregation is an important function which the situation assessment needed to implement. Because of such a variety of targets, complicated coordinated relationships and fast evolved battlefield situation in joint command and control, it is difficult for commanders to make effective decisions confronted with excessive information. In this paper, an analysis of target aggregation in situation understanding is made, and a mathematic model of the armored targets on the battlefield is built. On this basis, a hierarchical aggregation algorithm is proposed, and the information of operational units is classified in order to form the hypothesis of the military systematic units at relationship level, and to reveal the relationship between situation elements and functions of situation elements. Finally, the feasibility of the algorithm is verified through a situation example, thus laying the foundation for the intention of the target behavior judgment and the enemy combat attempt.
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Wang, X., Zhao, Z. (2018). Research on Hierarchical Aggregation Method for Situation Assessment. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_98
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DOI: https://doi.org/10.1007/978-981-10-7605-3_98
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