信息融合系统中算法管理理论研究  

Algorithm Management in Information Fusion System

作　　者：姜丽[1,2] 林家骏[1] 

机构地区：[1]华东理工大学信息学院,上海200237 [2]连云港师范高等专科学校,江苏连云港222006

出　　处：《火力与指挥控制》2009年第5期105-108,共4页Fire Control & Command Control

摘　　要：信息融合系统中,数据源千差万别,多种多样;而众多的信息融合算法也具有不同的适应性。通过对实验数据的分析说明了数据源以及融合算法的选择显著影响了最终的融合结果。针对数据源、融合算法和融合结果之间的关系,以优化融合结果为目的,提出了信息融合系统中算法管理(Algorithm Management)的理论,阐述了算法管理的目标、算法管理可能的方法和算法管理的实现结构。最后讨论了信息融合领域中与算法管理理论相关的其他问题。In information fusion system, data sources are different in thousands ways, and numerous fusion algorithms also adapt for different cases. Through analyzing experiment data, it can be concluded that different data sources and the selection of fusion algorithms affect final fusion results obviously. Aiming at optimizing fusion results, Algorithm Management （AM） theory in information fusion is proposed, which is based on exposing the relationships among data sources, fusion algorithms and fusion results. At the same time, AM＇s goal, potential methods and structure are described. At last, other problems which are correlative with AM are discussed.

关 键 词：信息融合 算法管理 数据源 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]