Research on Ripple Algorithm in Automatic Target Recognition

摘要：

Automatic Target Recognition(ATR)is increasingly important in a wide range of video and image applications,such as machine vision and security monitoring.In order to reduce the complexity and time lag in Unmanned Aircraft Vehicle System(UAVS)for signals surveillance,force protection and strike,this paper proposes a novel ripple algorithm for ATR.This algorithm uses concentric circles to extract features of object and the features are quasi invariant to target translations,rotations and scaling.Through outdoor experimentation,it is proven that the ripple algorithm is correct and effective with high-speed in program running time.The recognition rate is more than 90％ and the code runs on the order much faster than the implementation based on the traditional algorithms.

作者: Jinhui Lan Tonghuan Huang Lili Wan

作者单位: Department of Measurement and Control Technologies.School of Information Engineering.University of Science and Technology Beijing,Beijing 100083,P.R.China

会议类型: 国际会议

会议名称: 第一届智能网络与智能系统国际会议(ICINIS 2008)(The First International Conference on Intelligent Networks and Intelligent Systems)

会议地点: 武汉

会议语种:英文

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）