Algorithm Management in Information Fusion System
Jiajun Lin · Fire Control and Command Control · 2009
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.