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面向目标机动类型的数据标签生成方法

汪其林 曹志敏 高静

指挥控制与仿真2024,Vol.46Issue(3):86-94,9.
指挥控制与仿真2024,Vol.46Issue(3):86-94,9.DOI:10.3969/j.issn.1673-3819.2024.03.013

面向目标机动类型的数据标签生成方法

Target maneuver type oriented data label generation method

汪其林 1曹志敏 1高静1

作者信息

  • 1. 江苏自动化研究所,江苏 连云港 222061
  • 折叠

摘要

Abstract

Target maneuver type recognition is a key aspect in the fields such as object tracking and intention recognition.A multi-layer label generation method based on improved K-medoids clustering is proposed to address the problems of insuffi-cient universality and low accuracy of existing maneuver type recognition methods.Taking the maneuver trajectory of aerial targets as an example,various data preprocessing methods are designed,and dynamic time warping is used as the distance metric for clustering algorithm.By constructing a label framework to guide the implementation process of the clustering algo-rithm,iterative clustering is carried out to generate multi-layer labels.The algorithm is tested on a public dataset,and the experimental results showed that the recognition accuracy of the first layer label achieved 89.75%under unsupervised condi-tions,which is closed to traditional supervised algorithms;Meanwhile,compared to the condition without introducing a label framework,it is more effective in distinguishing the second layer of fuzzy labels.This method requires only a small amount of expert knowledge and can be easily extended to different fields and different maneuver type.

关键词

标签生成/动态时间规整/K-medoids聚类

Key words

label generation/dynamic time warping/K-medoids clustering

分类

信息技术与安全科学

引用本文复制引用

汪其林,曹志敏,高静..面向目标机动类型的数据标签生成方法[J].指挥控制与仿真,2024,46(3):86-94,9.

指挥控制与仿真

OACSTPCD

1673-3819

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