Tracking Aided Target Identification Based on Evidence Theory Data Mining

摘要：

To improve the precision of target attribute identification, a kind of tracking aided target identification method based on evidence theory data mining is advanced in this paper. Tracking information is imported to attribute fusion, thus improve the performance and accuracy of target identification. The experiment result proves the validity of this method. Especially when there are little sensors of attribute measurement, this method is more practical.

关键词： target identification data mining evidence theory

作者: Wang Hongfeng Shan Ganlin Gao Lu

作者单位: Beijing 5117 mailbox,100094 Mechanical Engineering College,Shijiazhuang 050003 China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）