基于不确定性度量信息融合的团队一致法研究
A Study on Group Consensus Approach of Data Fusion Based on Measure of Uncertainty
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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.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.
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Key words:
- Information fusion /
- group consensus /
- measure of uncertainty
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