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Volumn , Issue , 2007, Pages 3794-3797

Classification of hyperspectral data by continuation semi-supervised SVM

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUATION METHOD; HYPERSPECTRAL REMOTE SENSING; LEARNING PHASE;

EID: 80052321174     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2007.4423669     Document Type: Conference Paper
Times cited : (7)

References (12)
  • 1
    • 20444432773 scopus 로고    scopus 로고
    • Kernel-based methods for hyperspectral images classification
    • G. Camps-Valls and L. Bruzzone, "Kernel-based methods for hyperspectral images 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
  • 2
    • 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
  • 4
    • 33750819329 scopus 로고    scopus 로고
    • A novel transductive SVM for the semisupervised classification of remote-sensing images
    • L. Bruzzone, M. Chi, and M. Marconcini, "A novel transductive SVM for the semisupervised classification of remote-sensing images," IEEE Trans. Geosci. and Remote Sensing, vol. 44, no. 11, pp. 3363-3373, 2006.
    • (2006) IEEE Trans. Geosci. and Remote Sensing , vol.44 , Issue.11 , pp. 3363-3373
    • Bruzzone, L.1    Chi, M.2    Marconcini, M.3
  • 7
    • 34249810956 scopus 로고    scopus 로고
    • Semi-supervised classification of hyperspectral images by svms optimized in the primal
    • M. Chi and L. Bruzzone, "Semi-supervised classification of hyperspectral images by svms optimized in the primal," IEEE Trans. Geosci. and Remote Sensing, vol. 45, 2007.
    • (2007) IEEE Trans. Geosci. and Remote Sensing , vol.45
    • Chi, M.1    Bruzzone, L.2
  • 9
    • 0030303861 scopus 로고    scopus 로고
    • The effective energy transformation scheme as a special continuation approach to global optimization with application to molecular conformation
    • Z. Wu, "The effective energy transformation scheme as a special continuation approach to global optimization with application to molecular conformation," SIAM Journal on Optimization, vol. 6, no. 3, pp. 748-768, 1996.
    • (1996) SIAM Journal on Optimization , vol.6 , Issue.3 , pp. 748-768
    • Wu, Z.1
  • 11
    • 38049126285 scopus 로고    scopus 로고
    • Training a support vector machine in the primal
    • accepted
    • O. Chapelle, "Training a support vector machine in the primal," Neural Computation, 2006, accepted.
    • (2006) Neural Computation
    • Chapelle, O.1
  • 12
    • 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 Remote Sensing, vol. 43, no. 3, pp. 492-501, March 2005.
    • (2005) IEEE Trans. Geosci Remote Sensing , vol.43 , Issue.3 , pp. 492-501
    • Ham, J.1    Chen, Y.2    Crawford, M.3    Ghosh, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.