期刊文献+

一种基于目标识别的证据理论改进方法的研究 被引量:3

Modified method based on evidence theory for target recognition
在线阅读 下载PDF
导出
摘要 随着现代战场环境的复杂变化,如何快速准确地对目标进行识别显得尤为重要,而环境的复杂多变可能会产生高度冲突的信息证据。针对高度冲突证据的合成问题,分析了D-S合成方法,引入了一种新的改进方法,在保持D-S合成公式不变的情况下,对证据模型即证据源进行修正,通过算法寻找产生冲突的证据,并进行修正,通过算法仿真,验证了该算法的有效性及合理性。 With the complexity changes of the modem battlefield environment, how to recognize the target accurately becomes very important, but the complexity changes of environment will bring the highly conflict evidences. D-S combination rules are defective in resolving evidence combination problem of highly conflict evidences. So we propose a new modified method, which still used the D-S combination rule with modified evidences. We will find out the conflict evidences through this method and modified them. Experiments show the validity and rationality of this method.
出处 《电子测量技术》 2009年第7期149-151,共3页 Electronic Measurement Technology
关键词 证据合成 目标识别 DEMPSTER组合规则 evidence combination target reeognition dempster combination rule
  • 相关文献

参考文献8

二级参考文献21

共引文献451

同被引文献28

  • 1王勇,毕大平.D-S证据理论在雷达体制识别中的应用[J].国外电子测量技术,2005,24(9):45-49. 被引量:5
  • 2DEZERTJ, SMARANDACHE F. Advances and Applications of DSmT for Information Fusion[M]. Rehoboth. American Research Press, 2004.-10-15.
  • 3DEZERT J. Foundations for a new theory of plausible and paradoxical reasoning[J]. Inform. & Security, Anint. Journal,2002(9) : 203-207.
  • 4SHAFER G. A Mathematical Theory of Evidence [D]. Princeton, University Press, Princeton NJ, 1976:14-16.
  • 5YAGER R R. On the Dempster-Shafer framework and new combination rules [J]. Information Sciences, 1987,41..93-138.
  • 6DUBOIS D, PRADE H. Represent and combination of uncertainty with belief functions and possibility measures[J]. Comput. Intell. 1988, 4:244- 264.
  • 7LEVR E E, COLOT O, et al. A generic framework for resolving the confliction the combination of belief structures [C] The 3rd International Conference on Information Fusion, July 2000, Paris, France.
  • 8F.Seizer,D.Gutfinger.LADAR and Based Sensor Fusion for Automatic Target Classification[J].SPIE,1988,1003:236-241.
  • 9L.J.Lui,J.Y.Yang.Model Base Object Classification Using Fused Data.SPIE,1991,1611:65-73.
  • 10BONE P, YOUNG R, CHATWIN C. Position rotation scale and orientation-invariant multiple object recognition from cluttered scenes [J]. Optical Engineering, 2006, 45(7) : 1-8.

引证文献3

二级引证文献14

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部