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Volumn , Issue , 2014, Pages 253-258

Classification of multispectral satellite images using ensemble techniques of bagging, boosting and adaboost

Author keywords

adaboosting; artificial neural networks; bagging; boosting; confusion matrix; ensemble classification; kappa coefficient; multispectral images; overall accuracy

Indexed keywords

ADAPTIVE BOOSTING; COMMUNICATION; IMAGE RESOLUTION; IMAGE SEGMENTATION; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS;

EID: 84904153565     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSCITA.2014.6839268     Document Type: Conference Paper
Times cited : (14)

References (19)
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  • 4
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    • march
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    • (2001) IEEE Transactions on Geoscience and Remote Sensing , vol.39 , Issue.3
    • Chan, J.C.-W.1    Huang, C.2    Defries, R.3
  • 13
    • 4344706336 scopus 로고    scopus 로고
    • Multistrategy ensemble learning: Reducing error by combining ensemble learning techniques
    • August
    • Geoffrey I. Webb and Zijian Zheng, "Multistrategy Ensemble Learning: Reducing Error by Combining Ensemble Learning Techniques", IEEE transactions on knowledge and data engineering, vol. 16, no. 8, August 2004
    • (2004) IEEE Transactions on Knowledge and Data Engineering , vol.16 , Issue.8
    • Webb, G.I.1    Zheng, Z.2
  • 16
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    • Bagging predictors
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  • 19
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    • A decision-theoretic generalization of on-line learningand an application to boosting
    • Y. Freund and R. E. Schapire, "A Decision-Theoretic Generalization of On-Line Learningand an Application to Boosting" Journal of computer and system sciences 55, pp.119-139, 1997.
    • (1997) Journal of Computer and System Sciences , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.