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Volumn 28, Issue 7, 2007, Pages 1687-1710

Boosting: A classification method for remote sensing

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGING TECHNIQUES; RADIOMETRY; SPECTRUM ANALYSIS;

EID: 34147150061     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160500469985     Document Type: Article
Times cited : (22)

References (22)
  • 4
    • 84865736463 scopus 로고    scopus 로고
    • Boosting, bagging and consensus based classification of multisensor remote sensing data
    • Cambridge, July 2001 Springer, Berlin
    • Briem, G. J., Benediktsson, J. A. and Sveinsson, J. R. (2001) Boosting, bagging and consensus based classification of multisensor remote sensing data. Second Workshop on Multiple Classifier Systems, Cambridge, July 2001, p. 279. Springer, Berlin
    • (2001) Second Workshop on Multiple Classifier Systems , pp. 279
    • Briem, G.J.1    Benediktsson, J.A.2    Sveinsson, J.R.3
  • 5
    • 0031361611 scopus 로고    scopus 로고
    • Machine learning research: Four current directions
    • Dietterich, T. G. (1999) Machine learning research: Four current directions. AI Magazine, 18, pp. 97-136.
    • (1999) AI Magazine , vol.18 , pp. 97-136
    • Dietterich, T.G.1
  • 6
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting and randomization
    • Dietterich, T. G. (2000) An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting and randomization. Machine Learning, 40, pp. 139-158.
    • (2000) Machine Learning , vol.40 , pp. 139-158
    • Dietterich, T.G.1
  • 8
    • 34147176884 scopus 로고    scopus 로고
    • Méthode de reconnaissance de l'occupation du sol par image satellite et système expert en petit parcellaire
    • University Montpellier II
    • Dufour, A. (2001) Méthode de reconnaissance de l'occupation du sol par image satellite et système expert en petit parcellaire., University Montpellier II
    • (2001)
    • Dufour, A.1
  • 9
    • 0344729476 scopus 로고
    • A decision-theoric generalization of on-line learning and an application to Boosting
    • AT&T Bell Laboratories, Murray Hill, NJ
    • Freund, Y. and Schapire, R. E. (1995) A decision-theoric generalization of on-line learning and an application to Boosting., AT&T Bell Laboratories, Murray Hill, NJ
    • (1995)
    • Freund, Y.1    Schapire, R.E.2
  • 15
    • 18544390816 scopus 로고    scopus 로고
    • Updating land cover classification using a rule-based decision system
    • Raclot, D., Colin, F. and Puech, C. (2005) Updating land cover classification using a rule-based decision system. International Journal of Remote Sensing, 26, pp. 1309-1321.
    • (2005) International Journal of Remote Sensing , vol.26 , pp. 1309-1321
    • Raclot, D.1    Colin, F.2    Puech, C.3
  • 19
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • Schapire, R. E. and Singer, Y. (1999) Improved boosting algorithms using confidence-rated predictions. Machine Learning, 37, pp. 297-336.
    • (1999) Machine Learning , vol.37 , pp. 297-336
    • Schapire, R.E.1    Singer, Y.2
  • 20
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: A boosting-based system for text categorization
    • Schapire, R. E. and Singer, Y. (2000) BoosTexter: A boosting-based system for text categorization. Machine Learning, 39, pp. 135-168.
    • (2000) Machine Learning , vol.39 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 22
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Yang, Y. (1999) An evaluation of statistical approaches to text categorization. Information Retrieval, 1, pp. 69-90.
    • (1999) Information Retrieval , vol.1 , pp. 69-90
    • Yang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.