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模糊决策融合的红外弱小目标序列检测
引用本文:车宏,孙隆和. 模糊决策融合的红外弱小目标序列检测[J]. 火力与指挥控制, 2009, 34(12)
作者姓名:车宏  孙隆和
作者单位:西北工业大学,陕西,西安,710072;中航一集团六一三研究所,河南,洛阳,471009;西北工业大学,陕西,西安,710072;中航一集团六一三研究所,河南,洛阳,471009
摘    要:针对红外序列图像中运动弱小点目标的检测问题,重点研究序列关联检测算法.在多帧关联检测的基础上,引入决策融合概念,建立了基于模糊决策融合的序列关联检测方法.基于贝叶斯最小风险准则建立分布式决策模糊融合方法,有效融合单帧检测的结果,提高序列检测算法的性能.实测数据的实验结果验证了基于贝叶斯最小风险准则的分布式决策模糊融合方法的可行性和有效性.

关 键 词:序列检测  贝叶斯准则  模糊融合

Sequential Detection of Infrared Point Target based on Fuzzy Decision Fusion
CHE Hong,SUN Long-he. Sequential Detection of Infrared Point Target based on Fuzzy Decision Fusion[J]. Fire Control & Command Control, 2009, 34(12)
Authors:CHE Hong  SUN Long-he
Abstract:Toward detection of moving point target in infrared sequential images, the sequential association detection algorithm is research in this paper. Based on the single detection, the decision fusion is introduced and the sequential detection based on fuzzy decision fusion is build. Because the fuzzy decision fusion is built based on minimum Bayesian risk criterion, it improves the detection performance. Experimental results to real data proof the feasibility and validity of distributed fuzzy decision fusion method based on minimum Bayesian risk criterion.
Keywords:sequential detection  bayesian criterion  fuzzy fusion
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