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《Electronics Optics & Control》 2003-02
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Performance measure rules of multi-sensor image fusion

XIA Ming ge 1, HE You 2, HUANG Xiao dong 1(1. Dept. of Weaponry Eng., Naval Univ. of Engineering, Wuhan 430033, China; 2.Dept. of Electronic Eng., Naval Aeronautical Engineering Institute, Yantai 264001, China)  
As a result, multi sensor image fusion can transform incomplete, inconsistent, or imprecise data provided by individual sensors into more useful information. There are two essential requirements for image fusion: (1) pattern conservation: important details of the component images must be preserved in the composite image; and (2) spurious elements avoidance: it must not introduce any new pattern elements or artifacts that could interfere with subsequent image analysis and reconstruction. Performance measure of multi sensor image fusion is a key problem in image fusion. An image fusion structure model with feedback information and some issues that should be solved in the future are proposed in this paper. Performance measure rules of D S theory, rough set, averaged method and Sugero integral etc. are also discussed.
【Fund】: 国家自然科学基金资助项目(批准号:6 0 172 0 33);; 全国优秀博士学位论文作者专项资金资助项目(编号 :2 0 0 0 36 )
【CateGory Index】: TP212
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