High level data fusion system for CanCoastWatch

被引：0
作者：
Li, Zhenhua [1 ]
Leung, Henry [1 ]
Valin, Pierre [2 ]
Wehn, Hans [2 ]
机构：
[1] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB, Canada
[2] DRDC Valcartier, Dec Support Syst Sect, Quebec City, PQ, Canada
来源：
2007 PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION, VOLS 1-4 | 2007年
关键词：
multiple sensors; track fusion; coast watch; situation assessment; expert system;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a goal-driven net-enabled distributed data fusion system is described for CanCoastWatch (CCR) project. Multiple sensors are deployed and managed to achieve the goals of situation assessment using a net-enabled architecture. The local tracks reported by multiple sensors are first integrated into global tracks. Decision making is then performed on basic sub-goals that can be directly derived from the fused global tracks. Finally, a goal-driven rule-based expert system uses the basic sub-goal decisions for goal reasoning.
引用
收藏
页码：1197 / +
页数：2
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