Intelligent Association Technology Based on Trajectory Cognition
XIE Wei
Abstract：The traditional association method based on spatial-temporal location is not suitable for the continuous capture of target data with large differences in multiple means data,as well as for the target's large-scale,long-distance activities.In this pa-per,a target-based intelligent association technology based on trajectory cognition is proposed,which uses a trajectory data comple-tion method based on frequent patterns to fill in the missing data of massive,multi-source target trajectory data.A deep space-time residual network is proposed for time-space analysis,and a target trajectory processing,fusion,and analysis framework based on deep learning is constructed to improve the accuracy of target trajectory association.
Keywords：intelligent associationdeep learningtrajectory cognitiondata completionpassive reconnaissance
Publication Date：2025-03-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 33-37,71 )