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Color-image retrieval based on fuzzy correlation
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作者 ZHAIHongchen LIANGYanmei MUGuoguang 《Science in China(Series F)》 2004年第3期295-300,共6页
We report a method of color-image retrieval based on fuzzy correlation, inwhich α-cut relations in fuzzy set theory are applied to defining color match and heightmatch of color peaks for synthesizing fuzzy correlatio... We report a method of color-image retrieval based on fuzzy correlation, inwhich α-cut relations in fuzzy set theory are applied to defining color match and heightmatch of color peaks for synthesizing fuzzy correlation of two color histograms, and RGBspace is partitioned into six sub-regions in the experiment for the regional colorcomparisons. Experimental results show that the efficiency of the color-image retrievalcan be effectively improved by this approach. 展开更多
关键词 color—image retrieval color histogram fuzzy correlation
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THE FUZZY SYNTHETIC JUDGEMENT OF CORRELATING PARAMETER OF FIGHTER DESIGN
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作者 Cui Hong and Zao YongBeijing University of Aeronautics and Astronautics 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 1991年第1期20-25,共6页
An expression of correlating parameter is developed which can be used to synthetically express the close combat maneuverability of fighters by the method of fuzzy mathematics. On the basis of analysis of fighter maneu... An expression of correlating parameter is developed which can be used to synthetically express the close combat maneuverability of fighters by the method of fuzzy mathematics. On the basis of analysis of fighter maneuvering performances, this paper proposes the parameters ωA,ωs, and SEP to measure the maneuvering performances. The linear weighted method, which is one of the basic methods of transforming several objects to a single object in mathematics programming, is used to determine the form of the correlating parameter expression. The focal point of this paper's work is to determine the weight coefficients of maneuvering performances in the expression. In order to solve this problem, the inverse problem of synthetic judgement in fuzzy mathematics is employed. The development of the equation of fuzzy relationship in this paper is based on the judgement data, which are gathered from many experts working in aeronautical field. Therefore, the expression of correlating parameter developed by this paper can be used in the design object at aircraft conceptual design stage and the judgement of synthetical measurement of the maneuverability of fighters. 展开更多
关键词 THE fuzzy SYNTHETIC JUDGEMENT OF CORRELATING PARAMETER OF FIGHTER DESIGN
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Data matching and association based on the arc-segment difference method
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作者 Jiannan Sun Zhe Kang +1 位作者 Zhenwei Li Cunbo Fan 《Astronomical Techniques and Instruments》 2025年第5期299-309,共11页
In response to the issue of fuzzy matching and association when optical observation data are matched with the orbital elements in a catalog database,this paper proposes a matching and association strategy based on the... In response to the issue of fuzzy matching and association when optical observation data are matched with the orbital elements in a catalog database,this paper proposes a matching and association strategy based on the arcsegment difference method.First,a matching error threshold is set to match the observation data with the known catalog database.Second,the matching results for the same day are sorted on the basis of target identity and observation residuals.Different matching error thresholds and arc-segment dynamic association thresholds are then applied to categorize the observation residuals of the same target across different arc-segments,yielding matching results under various thresholds.Finally,the orbital residual is computed through orbit determination(OD),and the positional error is derived by comparing the OD results with the orbit track from the catalog database.The appropriate matching error threshold is then selected on the basis of these results,leading to the final matching and association of the fuzzy correlation data.Experimental results showed that the correct matching rate for data arc-segments is 92.34% when the matching error threshold is set to 720″,with the arc-segment difference method processing the results of an average matching rate of 97.62% within 8 days.The remaining 5.28% of the fuzzy correlation data are correctly matched and associated,enabling identification of orbital maneuver targets through further processing and analysis.This method substantially enhances the efficiency and accuracy of space target cataloging,offering robust technical support for dynamic maintenance of the space target database. 展开更多
关键词 Optical data processing Space target identification fuzzy correlation Arc-segment difference method Orbit determination
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