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面向目标识别的图像融合效果评价方法
引用本文:刘松涛,沈同圣,杨绍清.面向目标识别的图像融合效果评价方法[J].激光与红外,2007,37(7):593-597.
作者姓名:刘松涛  沈同圣  杨绍清
作者单位:海军大连舰艇学院信息与通信工程系,辽宁,大连116018;清华大学计算机科学与技术系,北京,100084
基金项目:国防科技预研项目 , 国家自然科学基金
摘    要:在融合效果主观评价的基础上,针对目标探测识别领域,概括出一些重要的融合效果评价指标,即标准差、熵、交叉熵、互信息和模糊Choquet积分等,并提出了一种基于目标提取的图像融合效果客观评价方法.鉴于实验评价方法的局限性,指出应结合分析评价方法才能实现更全面的融合效果评价.

关 键 词:图像融合  评价指标  分析评价  目标识别
文章编号:1001-5078(2007)07-0593-05
修稿时间:2006-12-262007-03-06

Target Detection Method for Low SNR Infrared Images Based on Zernike Moments
LIU Song-tao,SHEN Tong-sheng,YANG Shao-qing.Target Detection Method for Low SNR Infrared Images Based on Zernike Moments[J].Laser & Infrared,2007,37(7):593-597.
Authors:LIU Song-tao  SHEN Tong-sheng  YANG Shao-qing
Affiliation:Dept.of Information & Communication Engineering,Dalian Naval Academy,Dalian 116018,China;Dept. of Computer Scievce and Technology,Tsinghua University, Beijing 100084,China
Abstract:On the basis of subjective evaluation on effect of image fusion,some important objective evaluation parameters are summarized in the target detection and recognition, i.e., STD, entropy, cross entropy, mutual information and fuzzy Choquet integration. Furthermore, an objective evaluation method on effect of image fusion for target recognition is proposed. Considering the limitation of experimental evaluation approaches, it is pointed that analytical evaluation approaches can be very helpful in augmenting experimental evaluation studies.
Keywords:image fusion  evaluation parameters  analysis evaluation  target recognition
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