메뉴 건너뛰기




Volumn 6365, Issue , 2006, Pages

An advanced semisupervised SVM classifier for the analysis of hyperspectral remote sensing data

Author keywords

Hyperspectral data; Remote sensing; Semisupervised classification; Support vector machines

Indexed keywords

ADAPTIVE SYSTEMS; DATA REDUCTION; IMAGE SENSORS; MATHEMATICAL MODELS; REMOTE SENSING; SPECTRUM ANALYSIS;

EID: 33751430522     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.692328     Document Type: Conference Paper
Times cited : (7)

References (22)
  • 3
    • 77957741951 scopus 로고
    • On the mean accuracy of statistical pattern recognition
    • January
    • G. F. Hughes, "On the mean accuracy of statistical pattern recognition," IEEE Trans. Inform. Theory, vol. IT-14, pp. 55-63, January 1968.
    • (1968) IEEE Trans. Inform. Theory , vol.IT-14 , pp. 55-63
    • Hughes, G.F.1
  • 4
    • 16444386461 scopus 로고    scopus 로고
    • Quality assessment of classification and cluster maps without ground truth knowledge
    • April
    • A. Baraldi, L. Bruzzone and P. Blonda, "Quality assessment of classification and cluster maps without ground truth knowledge," IEEE Trans. Geosci. and Remote Sensing, vol. 43, no. 4, pp. 857-873, April 2005.
    • (2005) IEEE Trans. Geosci. and Remote Sensing , vol.43 , Issue.4 , pp. 857-873
    • Baraldi, A.1    Bruzzone, L.2    Blonda, P.3
  • 5
    • 0003450542 scopus 로고    scopus 로고
    • Berlin: Springer-Verlag
    • nd ed. Berlin: Springer-Verlag, 1999.
    • (1999) nd Ed.
    • Vapnik, V.N.1
  • 6
    • 0028499630 scopus 로고
    • The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon
    • September
    • B. M. Shahshahani and D. A. Landgrebe, "The effect of unlabeled samples in reducing the small sample size problem and mitigating the Hughes phenomenon," IEEE Trans. Geosci. Remote Sensing, vol. 32, no. 5, pp. 1087-1095, September 1994.
    • (1994) IEEE Trans. Geosci. Remote Sensing , vol.32 , Issue.5 , pp. 1087-1095
    • Shahshahani, B.M.1    Landgrebe, D.A.2
  • 7
    • 0036875946 scopus 로고    scopus 로고
    • Adaptive Bayesian contextual classification based on Markov random fields
    • Nov.
    • Q. Jackson and D. A. Landgrebe, "Adaptive Bayesian contextual classification based on Markov random fields," IEEE Trans. Geosci. Remote Sensing, 40 (11): 2454-2463, Nov. 2002.
    • (2002) IEEE Trans. Geosci. Remote Sensing , vol.40 , Issue.11 , pp. 2454-2463
    • Jackson, Q.1    Landgrebe, D.A.2
  • 8
    • 0036564114 scopus 로고    scopus 로고
    • An adaptive method for combined covariance estimation and classification
    • May
    • Q. Jackson and D. A. Landgrebe, "An adaptive method for combined covariance estimation and classification," IEEE Trans. Geosci. Remote Sensing, 40 (5): 1082-1087, May 2002.
    • (2002) IEEE Trans. Geosci. Remote Sensing , vol.40 , Issue.5 , pp. 1082-1087
    • Jackson, Q.1    Landgrebe, D.A.2
  • 10
    • 0033886917 scopus 로고    scopus 로고
    • Robust parameter estimation for mixture model
    • January
    • S. Tadjudin and D. A. Landgrebe, "Robust parameter estimation for mixture model," IEEE Trans. Geosci. Remote Sensing, 38(1): 439-445, January 2000.
    • (2000) IEEE Trans. Geosci. Remote Sensing , vol.38 , Issue.1 , pp. 439-445
    • Tadjudin, S.1    Landgrebe, D.A.2
  • 13
    • 20444432773 scopus 로고    scopus 로고
    • Kernel-based methods for hyperspectral image classification
    • G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspectral image classification," IEEE Trans. Geosci. and Remote Sensing, vol. 43, no. 6, pp. 1351-1362, 2005.
    • (2005) IEEE Trans. Geosci. and Remote Sensing , vol.43 , Issue.6 , pp. 1351-1362
    • Camps-Valls, G.1    Bruzzone, L.2
  • 16
    • 0003991806 scopus 로고    scopus 로고
    • New York: John Wiley & Sons, Inc., 434-437, 518-520
    • V. N. Vapnik, Statistical Learning Theory. New York: John Wiley & Sons, Inc., 1998, pp. 339-371, 434-437, 518-520.
    • (1998) Statistical Learning Theory , pp. 339-371
    • Vapnik, V.N.1
  • 19
    • 0038731227 scopus 로고    scopus 로고
    • Learning with progressive transductive support vector machine
    • August
    • Y. Chen, G. Wang and D. S., "Learning with progressive transductive support vector machine," Pattern Recognition Letters, vol. 24, no. 12, pp. 1845-1855, August 2003.
    • (2003) Pattern Recognition Letters , vol.24 , Issue.12 , pp. 1845-1855
    • Chen, Y.1    Wang, G.2    S., D.3
  • 20
    • 0005004572 scopus 로고    scopus 로고
    • A probability analysis on the value of unlabeled data for classification problems
    • June
    • T. Zhang and F. Oles, "A probability analysis on the value of unlabeled data for classification problems." Int. Joint Conf. on Machine Learning, June 2000.
    • (2000) Int. Joint Conf. on Machine Learning
    • Zhang, T.1    Oles, F.2
  • 22
    • 14644421528 scopus 로고    scopus 로고
    • Investigation of the random forest framework for classification of hyperspectral data
    • March
    • J. Ham, Y. Chen, M. Crawford and J. Ghosh, "Investigation of the Random Forest Framework for Classification of Hyperspectral Data," IEEE Trans. Geosci. and Remote Sensing, vol. 43, no. 16, March 2005.
    • (2005) IEEE Trans. Geosci. and Remote Sensing , vol.43 , Issue.16
    • Ham, J.1    Chen, Y.2    Crawford, M.3    Ghosh, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.