计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (17): 223-225.

• 工程与应用 • 上一篇    下一篇

基于贝叶斯网络的舰船识别

王庆江,高晓光   

  1. 西北工业大学 电子信息学院,西安 710072
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-06-11 发布日期:2007-06-11
  • 通讯作者: 王庆江

Identify ships based on Bayes network

WANG Qing-jiang,GAO Xiao-guang   

  1. School of Electronic and Information,Northwestern Polytechnical University,Xi’an 710072,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-06-11 Published:2007-06-11
  • Contact: WANG Qing-jiang

摘要: 快速准确地识别出舰船的类型,是进行战场态势评估和战场决策的基础。通过从远程侦察雷达的回波中提取特征信息,使用贝叶斯网络,提出了“两步法”对舰船进行识别,在此基础上进行了实例验证,其结果与事实相一致,显示了该方法的正确性和有效性。

关键词: 贝叶斯网络, 特征信息, 目标识别, 两步法

Abstract: Rapid and accurate identification type of ship is essential for situation assessment and combat decision.In order to identify ships,with Bayes network,a kind of identification model of “two-step method ” is proposed,which makes use of character information of radar wave that return from ships.The experiment is carried out and the results coincide with the fact.This shows that the identification model is reasonable and effective.

Key words: Bayes network, characteristic information, target identification, two-step method