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基于Choquet模糊積分的決策層信息融合目標(biāo)識(shí)別

劉永祥,  黎湘,  莊釗文

劉永祥, 黎湘, 莊釗文. 基于Choquet模糊積分的決策層信息融合目標(biāo)識(shí)別[J]. 電子與信息學(xué)報(bào), 2003, 25(5): 695-699.
引用本文: 劉永祥, 黎湘, 莊釗文. 基于Choquet模糊積分的決策層信息融合目標(biāo)識(shí)別[J]. 電子與信息學(xué)報(bào), 2003, 25(5): 695-699.
Liu Yongxiang, Li Xiang, Zhuang Zhaowen . Decision-level information fusion for target recognition based on choquet fuzzy integral[J]. Journal of Electronics & Information Technology, 2003, 25(5): 695-699.
Citation: Liu Yongxiang, Li Xiang, Zhuang Zhaowen . Decision-level information fusion for target recognition based on choquet fuzzy integral[J]. Journal of Electronics & Information Technology, 2003, 25(5): 695-699.

基于Choquet模糊積分的決策層信息融合目標(biāo)識(shí)別

Decision-level information fusion for target recognition based on choquet fuzzy integral

  • 摘要: 引入模糊測度和 Choquet模糊積分的概念后,信息融合目標(biāo)識(shí)別可轉(zhuǎn)化為各信源識(shí)別結(jié)果關(guān)于信源重要程度的廣義 Lebesgue積分。該文給出了 Choquet模糊積分應(yīng)用于決策層信息融合目標(biāo)識(shí)別的通用技術(shù)路線,并提供了信源重要程度的度量方法。算法實(shí)用于紅外/毫米波融合目標(biāo)識(shí)別系統(tǒng),融合識(shí)別結(jié)果與 D-S 證據(jù)理論方法作了比較,證明了基于 Choquet模糊積分方法的有效性。
    Abstract: After introducing the concept of fuzzy measures and Choquet fuzzy integral, infor-mation fusion for target recognition can turn into generalized Lebesgue integral of recognition result with respect to the degree of importance of source. This paper presents a generalized recognition flow in decision-level information fusion based on Choquet fuzzy integral, and pro-vides a method for measuring the degree of importance of source. The algorithm is proved in the real IR/MMW fusion recognition system, the fusion result of recognition which compares with that of D-S evidence theory shows the efficiency of the method based on Choquet fuzzy integral.
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  • H. Tahani, J. Keller, Information fusion in computer vision using the fuzzy integral, IEEE Trans.on SMC., 1990, SMC-20(3), 733-741.[2]P.D. Gader, M. A. Mohanmed, J. M. Keller, Dynamic-programming-based handwritten word recognition using the Choquet fuzzy integral as the match function, Journal of Electronic Imaging,1996, 5(1), 15-24.[3]M. Sugeno, Fuzzy measure and fuzzy integrals, a survey, Fuzzy Automata and Decision Processes.New York, North-Holland, 1997, 89-102.[4]T. Murofushi, M. Sugeno, A theory of fuzzy measures, representations, the Choquet integral, and null sets, Journal of Math. Analysis and Applications, 1991, 32(2), 532-549.[5]W Runsheng, Quality analysis of information to be fused, Proceedings of the Int. Conf. on multisource-multisensor information fusion, Las Vegas, USA,1998, 635-641.[6]劉永祥,黎湘,莊釗文,談判式時(shí)空整體決策信息融合方法研究,電子與信息學(xué)報(bào),2001,23(11),1225-1230.[7]黎湘,劉永祥,莊釗文,等,基于D-S證據(jù)理論的修正融合目標(biāo)識(shí)別模型,自然科學(xué)進(jìn)展,2000,10(11),1040-1042.
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出版歷程
  • 收稿日期:  2001-10-26
  • 修回日期:  2002-07-17
  • 刊出日期:  2003-05-19

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