现代电子技术Issue(22)：38-41,4.
基于动态模糊积分的决策层融合识别算法
Decision-making level fusion target recognition algorithm based on dynamic fuzzy integral
吴东娅 1卢焕章 1李鑫1
作者信息
- 1. 国防科技大学 自动目标识别重点实验室，湖南 长沙 410073
- 折叠
摘要
Abstract
Fuzzy integral is a common information fusion algorithm. The key problem in the fusion algorithm is to determine the fuzzy measure reflecting the importance degree of each information source. In this paper,the algorithm is used in the multi-sensor target recognition system. The definitions of Choquet fuzzy integral and fuzzy measure are described. The target recogni-tion model of decision-making level fusion based on dynamic fuzzy integral is established. The process is converted to the each sensor recognition results related to the generalized Lebesgue integral on its importance degree. Almost all the current calculating methods to determine the fuzzy measure only utilize the prior knowledge of the training samples. Their adaptability is not good enough to reflect the existing problems roundly. A decision-making level fusion algorithm based on dynamic fuzzy integral is pro-posed in this paper,which can make dynamic self-adaption correction for the results in the judging process. The specific stan-dard and method of judging the importance degree of each sensor are offered in this paper.关键词
模糊积分/模糊测度/决策层融合/目标识别Key words
fuzzy integral/fuzzy measure/decision-making level fusion/target recognition分类
信息技术与安全科学引用本文复制引用
吴东娅,卢焕章,李鑫..基于动态模糊积分的决策层融合识别算法[J].现代电子技术,2014,(22):38-41,4.
