Due to the fact that maritime multi-source data is characterized by large volume and heterogeneity,complexity and discrete,and difficult to label,the existing means of analyzing and processing maritime intelligence are difficult to fully explore the potential value of the data and generate reliable intelligence products.To address this issue,this paper designs a system architecture for maritime multi-source data fusion and analyzes in detail the capabilities required for each level in the architecture.It discusses key technologies such as target feature extraction,information fusion and correlation,and target behavioral law mining and predic-tion.Finally,three typical application scenarios are put forward to provide reference for promoting naval warfare data empowerment.
关键词
态势感知/大数据/多源信息融合/特征提取/数据挖掘
Key words
situational awareness/big data/multi-source information fusion/feature extraction/data mining
维普
万方数据