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Volumn 56, Issue 6, 2007, Pages 2705-2716

Feature object extraction: Evidence accrual for the level 1 fusion classification problem

Author keywords

Evidence accrual; Fuzzy systems; Kalman filtering; Multisensor systems; Object recognition

Indexed keywords

CLASSIFICATION (OF INFORMATION); FUZZY LOGIC; FUZZY SYSTEMS; KALMAN FILTERS; RANDOM VARIABLES; SENSOR DATA FUSION;

EID: 37249003333     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2007.907944     Document Type: Article
Times cited : (9)

References (15)
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  • 9
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    • Shafer-Dempster and Bayesian reasoning: A response to "Shafer-Dempster" reasoning with applications to multisensor target identification systems
    • Nov./Dec
    • D. M. Buede, "Shafer-Dempster and Bayesian reasoning: A response to "Shafer-Dempster" reasoning with applications to multisensor target identification systems," IEEE Trans. Syst., Man Cybern., vol. 18, no. 6, pp. 1009-1011, Nov./Dec. 1988.
    • (1988) IEEE Trans. Syst., Man Cybern , vol.18 , Issue.6 , pp. 1009-1011
    • Buede, D.M.1
  • 10
    • 0031190038 scopus 로고    scopus 로고
    • Application of Dempster-Shafer evidence theory to unsupervised classification in multi-source remote sensing
    • Jul
    • S. Le Hegarat-Mascle, I. Bloch, and D. Vidal-Madjar, "Application of Dempster-Shafer evidence theory to unsupervised classification in multi-source remote sensing," IEEE Trans. Geosci. Remote Sens., vol. 35, no. 4, pp. 1018-1031, Jul. 1997.
    • (1997) IEEE Trans. Geosci. Remote Sens , vol.35 , Issue.4 , pp. 1018-1031
    • Le Hegarat-Mascle, S.1    Bloch, I.2    Vidal-Madjar, D.3
  • 11
    • 0030871099 scopus 로고    scopus 로고
    • The modified Dempster-Shafer approach to classification
    • Jan
    • D. Fixsen and R. P. S. Mahler, "'The modified Dempster-Shafer approach to classification," IEEE Trans. Syst., Man Cybern., vol. 27, no. 1, pp. 96-104, Jan. 1997.
    • (1997) IEEE Trans. Syst., Man Cybern , vol.27 , Issue.1 , pp. 96-104
    • Fixsen, D.1    Mahler, R.P.S.2
  • 12
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  • 14
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.