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基于不确定性度量信息融合的团队一致法研究
引用本文:李国栋,靳宏磊,陈维南,李勇智.基于不确定性度量信息融合的团队一致法研究[J].自动化学报,1998,24(5):681-685.
作者姓名:李国栋  靳宏磊  陈维南  李勇智
作者单位:1.江苏理工大学机械设计工程学院,镇江;
基金项目:南开大学智能机器人控制实验室开放基金,江苏省应用基础基金
摘    要:给出一种新的信息融合方法--基于不确定性度量的团队一致法.这个方法是基于 一个迭代的团队不确定性度量函数,它能使团队成员达到一致;该方法用于融合从多个图象传 感器得到的对同一个目标的关于目标类别不确定性信息,与其它方法相比该方法有效而简单. 在多图象目标识别中有着广泛的应用.还给出了确定权值系数的一般方法.把这种方法用于一 个现成的实例,得到的结果和多数结合算子的结果一致.

关 键 词:信息融合    团队一致    不确定性度量
收稿时间:1996-9-9
修稿时间:1996-09-09

A Study on Group Consensus Approach of Data Fusion Based on Measure of Uncertainty
LI GUODONG,JIN HONGLEI,CHEN WEINAN,LI YONGZHI.A Study on Group Consensus Approach of Data Fusion Based on Measure of Uncertainty[J].Acta Automatica Sinica,1998,24(5):681-685.
Authors:LI GUODONG  JIN HONGLEI  CHEN WEINAN  LI YONGZHI
Affiliation:1.College of Machinery Design Engineering,Jiangsu University of Science and Technology,Zhejiang;Research Institute of Automation,Southeast University,Nanjing;Department of Mathematics and Science,Jiangsu University of Science and Technology,Zhenjiang
Abstract:This paper presented a nwe method of information fusion: the group consensus approach based on measure of uncertainty. The approach is based on a recursive group uncertainty measure functions, which is capable of bringing the group members to a consensus. This approach can fuse uncertainty information about object identity obtained by multiple image sensors. Comparing with other existing methods, this approach is simple and more effective and has a great application potential in many multi-image object identification problems.
Keywords:Information fusion  group consensus  measure of uncertainty
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