首页|CBA:multi source fusion model for fast and intelligent target intention identification
CBA:multi source fusion model for fast and intelligent target intention identification
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NETL
NSTL
万方数据
How to mine valuable information from massive multi-source heterogeneous data and identify the intention of aerial targets is a major research focus at present.Aiming at the long-term dependence of air target intention recognition,this paper deeply explores the potential attribute features from the spa-tiotemporal sequence data of the target.First,we build an intelli-gent dynamic intention recognition framework,including a series of specific processes such as data source,data preprocessing,target space-time,convolutional neural networks-bidirectional gated recurrent unit-atteneion(CBA)model and intention recog-nition.Then,we analyze and reason the designed CBA model in detail.Finally,through comparison and analysis with other recognition model experiments,our proposed method can effec-tively improve the accuracy of air target intention recognition,and is of significance to the commanders'operational command and situation prediction.
NETL
NSTL
万方数据
