A Data-driven Analysis Method for Battlefield Target Activity Portraits
FU Xun
Abstract：Aimed at the problem of battlefield target activity portraits analysis in the field of intelligence analyze,the dimen-sions of battlefield target activity profiling is defined.A data-driven method for mining activity patterns is designed and implement-ed,which provides a portrait analysis for battlefield target activities from dimensions such as time frequency characteristics,spatial distribution characteristics,trajectory motion characteristics,and relationship characteristics.Long-term accumulated intelligence data is used to test this method.The experimental results show that the algorithm can accurately and comprehensively analyze the profile of target activities through historical intelligence data.
Keywords：target activity portraittime frequency characteristics statisticstrack feature extractionrelationship analysis
Publication Date：2025-04-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 28-32 )