期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

基于Dempster-Shafer证据理论的匹配区多特征适配性分析方法 被引量：2

Multi-feature suitability analysis of matching area based on D-S theory
下载PDF
导出
摘要 匹配区的适配性分析在景象匹配视觉导航中至关重要。目前已有很多匹配区适配性分析特征指标,但都只能片面说明匹配区的适配性。试图将多种特征指标进行综合,解决不同特征指标对适配性分析的冲突性,提出一种特征指标适配置信度和不确定置信度的度量方法,利用Dempster-Shafer(D-S)证据理论对置信度进行融合,得出匹配区适配综合置信度,实验验证了该算法的有效性。 The suitability analysis of matching area plays a significant role in the field of vision-based navigation. There are many feature indexes that can only unilaterally describe the suitability of matching area. An algorithm was proposed to integrate several feature indexes to solve conflicts among different feature indexes and provide a kind of method that can measure the suitable confidence and unsuitable confidence of a feature. And then the confidences were fused by using the Dempster-Shafer （DS） rules. At last the algorithm was verified by simulation experiment.
作者 陈雪凌 赵春晖 李耀军 程咏梅
机构地区 西北工业大学自动化学院
出处 《计算机应用》 CSCD 北大核心 2013年第6期1665-1669,共5页 journal of Computer Applications
基金 国家自然科学基金资助项目(61074155) 西北工业大学2011年本科毕业设计重点扶持项目
关键词 适配性 特征指标 Dempster-Shafer(D-S)证据理论 景象匹配 视觉导航 suitability feature index Dempster-Shafer （D-S） theory scene matching vision-based navigation
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献10

二级参考文献85

共引文献121

同被引文献22

  • 1CIMINO M G C A, LAZZERINI B, MARCELLONI F,et al. An a-daptive rule-based approach for managing situation-awareness [ J].Expert Systems with Applications, 2012, 39( 12): 10796 - 10811.
  • 2ZENG F, LU M, ZHONG D. Using D-S evidence theory to evalua-tion of confidence in safety case[ J]. Journal of Theoretical and Ap-plied Information Technology, 2013, 47( 1): 184 - 189.
  • 3DEZERT J, WANG P, TCHAMOVA A. On the validity of Demp-ster-Shafer theory[ C] // Proceedings of the 15th International Con-ference on Information Fusion. Piscataway: IEEE, 2012: 655 -660.
  • 4MASELENO A, HASAN M. The Dempster-Shafer theory algorithmand its application to insect diseases detection [ J ]. InternationalJournal of Advanced Science and Technology, 2013, 50( 1): 111 -120.
  • 5YAGER R R. On the fusion of imprecise uncertainty measures usingbelief structures[ J]. Information Sciences, 2011, 181( 15): 3199-3209.
  • 6ALI T, DUTTA P, BORUAH H. A new combination rule for con-flict problem of Dempster-Shafer evidence theory[ J]. InternationalJournal of Energy, Information and Communications, 2012, 3( 1):35 -40.
  • 7LEUNG Y, JI N, MA J. An integrated information fusion approachbased on the theory of evidence and group decision-making[ J]. In-formation Fusion, 2012, 8(2) :1-13.
  • 8CHAO F, YANG S. Group consensus based on evidential reason-ing approach using interval-valued belief structures [ J ]. Knowl-edge-Based Systems, 2012, 35( 1): 201 -210.
  • 9PASHA E, VMOSTAFAEI H R, KHALAJC M, et al. Fault diag-nosis of engine using information fusion based on Dempster-Shafertheory [ J ]. Journal of Basic and Applied Scientific Research,2012,2(2): 1078 -1085.
  • 10KOVESI P. Image Features from Phase Congruency ~J~. Videre:A Journal of Computer Vision Research, 1999, 1(3) :228-242.

引证文献2

二级引证文献7

计算机应用
2013年 第6期

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