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arXiv 0806.1802cs.AI
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Une nouvelle règle de combinaison répartisant le conflit - Applications en imagerie声纳et classification de cibles雷达

Une nouvelle règle de combinaison répartissant le conflit - Applications en imagerie Sonar et classification de cibles Radar

Arnaud Martin, Christophe Osswald

摘要:

近年来,关于信息融合中的冲突问题有很多研究,尤其是在证据理论中。我们可以将管理冲突的解决方案总结为三种不同的方法:第一,我们可以在组合步骤之前尝试抑制或减少冲突,第二,我们可以在组合步骤中管理冲突以使冲突不产生影响,然后在决策步骤中考虑冲突,第三,我们可以在组合步骤中考虑冲突。第一种方法当然更好,但并不总是可行的。很难说第二种和第三种方法中哪一种是最好的。然而,最重要的是在应用中产生的结果。我们在这里提出了一个新的组合规则,该规则将冲突按比例分布在给定冲突的元素上。在声纳图像和雷达目标分类的实际数据上,我们比较了这些不同的组合规则。

英文摘要:

These last years, there were many studies on the problem of the conflict coming from information combination, especially in evidence theory. We can summarise the solutions for manage the conflict into three different approaches: first, we can try to suppress or reduce the conflict before the combination step, secondly, we can manage the conflict in order to give no influence of the conflict in the combination step, and then take into account the conflict in the decision step, thirdly, we can take into account the conflict in the combination step. The first approach is certainly the better, but not always feasible. It is difficult to say which approach is the best between the second and the third. However, the most important is the produced results in applications. We propose here a new combination rule that distributes the conflict proportionally on the element given this conflict. We compare these different combination rules on real data in Sonar imagery and Radar target classification.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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