| 态势估计的目标编群问题研究 |
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| 引用本文： | 李伟生,王宝树.态势估计的目标编群问题研究[J].计算机科学,2003,30(8):136-138. |
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| 作者姓名： | 李伟生 王宝树 |
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| 作者单位： | 西安电子科技大学计算机学院,西安,710071 |
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| 基金项目： | 国防科技预研基金(00J6.6.1 DZ0103) |
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| 摘 要： | Problems about target classification in situation assessment are analyzed. This paper presents a synthetic method for fulfilling target classification by using the nearest-neighbor method and field knowledge. The graphical structure formed by target classification is shown by the adjacency list. Based on the structure, breadth-first search algorithm is used for the implementation of dynamic maintenance. The output of target classification is helpful to de-termine the interaction among situation elements, thus interprets actions related to problem field.
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| 关 键 词： | 态势估计 目标编群问题 数据融合系统 军事 智能决策 C^4ISR |
Study of Target Classification in Situation Assessment |
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| LI Wei-Sheng WANG Bao-Shu.Study of Target Classification in Situation Assessment[J].Computer Science,2003,30(8):136-138. |
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| Authors: | LI Wei-Sheng WANG Bao-Shu |
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| Abstract: | Problems about target classification in situation assessment are analyzed. This paper presents a synthetic method for fulfilling target classification by using the nearest.neighbor method and field knowledge. The graphical structure formed by target classification is shown by the adjacency list. Based on the structure, breadth.first search algorithm is used for the implementation of dynamic maintenance. The output of target classification is helpful to determine the interaction among situation elements, thus interprets actions related to problem field. |
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| Keywords: | Situation assessment Target classification Breadth-first search |
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