Target recognition based on fuzzy dempster data fusion method

Defence Science Journal

Volumn 60, Issue 5, 2010, Pages 525-530

  Deng, Yong ^a   Su, Xiaoyan ^b   Wang, Dong ^b   Li, Qi ^b  

^a SOUTHWEST UNIVERSITY   (China)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Automatic target recognition system; Bayesian theorem; Data fusion technology; Dempster shafter evidence theory; Evidence theory; Fuzzy set theory; Multisensor fusion; Target recognition

Indexed keywords

AUTOMATIC TARGET RECOGNITION; FUZZY SETS; MEMBERSHIP FUNCTIONS; SENSOR DATA FUSION;

AUTOMATIC TARGET RECOGNITION SYSTEM; BAYESIAN THEOREM; DATA FUSION TECHNOLOGY; DEMPSTER; DEMPSTER-SHAFTER EVIDENCE THEORY; EVIDENCE THEORIES; FUSION TECHNOLOGY; FUZZY-SET THEORY; RECOGNITION SYSTEMS; TARGET RECOGNITION;

FUZZY SET THEORY;

EID: 77957592770     PISSN: 0011748X     EISSN: None     Source Type: Journal    
DOI: 10.14429/dsj.60.576     Document Type: Article

References (14)

1. Hall, D.L. & Llinas, J. An introduction to multisensor data fusion. Proceedings IEEE, 1997, 85(1), 6-23.
2. Ratches, J.A.; Walters, C.P. & Buser, R.G. Aided and automatic target recognition based upon sensory inputs from image forming systems. IEEE Trans. Pattern Analy. Mach. Intell., 19(9), 1004-19.
3. Z. Korona and M. M. Kokar, Modelbased fusion for multisensor target recognition. In Proceedings SPIE, 1996, 2755, pp. 178-89.
4. R. Zhao, P. A. Kelly, and H. Derin, A Bayesian network using edge probabilities for target detection and recognition. In Proceedings SPIE, 2001, 4380, pp.288-99.
5. K.-C. Chang, J. Liu, and J. Zhou, Bayesian probabilistic inference for target recognition. In Proceedings SPIE, 1996, 2755, pp. 158-65.
6. I. R. Goodman, R. P. S. Mahler, and H. T. Nguyen, Mathematics of data fusion (Dordecht, Kluwer Academic Publishers, 1997).
7. R. Mahler, Measurement models for ambiguous evidence using conditional random sets. In Proceedings SPIE, 1997, 3068, pp. 40-51.
8. Jouseau, E.Dorizzi, B. Neural networks and fuzzy data fusion. Application to an on-line and real-time vehicle detection system. Pattern Recog. Lett., 1999, 20(1), 97-107. (Pubitemid 29430720)
9. G. A. Shafer, Mathematical theory of evidence (Princeton University Press, New Jersey, 1976).
10. Zadeh, L. A simple view of the Dempster-Shafer theory of evidence and its implication for the rule of combination. AIMagazine, 1986, 7(2), 85-90. (Pubitemid 16592237)
11. Murphy, C.K. Combining belief functions when evidence conflicts. Decision Support Syst., 2000, 29(1), 1-9.
12. Lefevre, E. Belief function combination and conflict management. Information Fusion, 2002, 3(2), 149-62.
13. Deng, Y.; Shi, W.K. & Liu, Q. Combining belief function based on distance function. Decision Support Syst., 2004, 38(3), 489-93.
14. Guo, H.W.; Shi, W.K.Deng, Y. Evaluating sensor reliability in classification problems based on evidence theory. IEEE Trans. Syst. Man. Cyber. Part B: Cybernetics, 2006, 36(5), 970-81. (Pubitemid 44500770)