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一种基于Hough变换的线型群体队型识别方法
引用本文:蔡益朝,张维明,贺玲,刘忠. 一种基于Hough变换的线型群体队型识别方法[J]. 国防科技大学学报, 2006, 28(2): 124-130
作者姓名:蔡益朝  张维明  贺玲  刘忠
作者单位:国防科技大学,C4ISR技术重点实验室,湖南,长沙,410073;国防科技大学,C4ISR技术重点实验室,湖南,长沙,410073;国防科技大学,C4ISR技术重点实验室,湖南,长沙,410073;国防科技大学,C4ISR技术重点实验室,湖南,长沙,410073
摘    要:作战群体的队型是作战群体的重要属性之一,它往往反映了群体中各成员之间的协作关系,直接体现着该群体近期的作战意图、身份及威胁等态势信息。为了给指挥人员的态势评估及军事指挥提供更多深层次的战场信息,从而为其决策提供更好的支持,重点研究了作战群体线型队型的识别问题。利用Hough变换的点线对偶特性,给出了线型队型的模板建模方法,提出了基于参数点聚类的线型队型特征提取方法,进而给出了基于模板匹配的线型队型识别方法。仿真实验表明,该方法是行之有效的。

关 键 词:群体  队型识别  Hough变换
文章编号:1001-2486(2006)02-0124-07
收稿时间:2005-11-09
修稿时间:2005-11-09

Formation Recognition Based on Hough Transform
CAI Yichao,ZHANG Weiming,HE Ling and LIU Zhong. Formation Recognition Based on Hough Transform[J]. Journal of National University of Defense Technology, 2006, 28(2): 124-130
Authors:CAI Yichao  ZHANG Weiming  HE Ling  LIU Zhong
Affiliation:Key Laboratory of C4ISR, National Univ. of Defense Technology, Changsha 410073, China;Key Laboratory of C4ISR, National Univ. of Defense Technology, Changsha 410073, China;Key Laboratory of C4ISR, National Univ. of Defense Technology, Changsha 410073, China;Key Laboratory of C4ISR, National Univ. of Defense Technology, Changsha 410073, China
Abstract:As an important property of operation group,formation reflects the cooperative relationships among group members in space arrangement.It often indicates the intention of near future,identity and threat of enemy groups directly.In order to provide much more significant battlefield information and much better support for commanders' situation assessment and command activity,the problem of recognizing made-up lines of formations is researched.Based on Hough Transform,a template-based modeling method for these formations is proposed at first,then the pattern feature extraction strategy based on clustering of points in Hough Space is put forward.At the end of the paper,a formation recognition approach based on the matching between pattern features of a formation and these templates is suggested.Experiment results show that the method is effective.
Keywords:group  formation recognition  Hough transformation
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