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Volumn , Issue , 2006, Pages 607-619

Sar image classification by support vector machine

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EID: 84931429688     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Chapter
Times cited : (3)

References (12)
  • 3
    • 0026678254 scopus 로고
    • Classification of multispectral remote sensing data using a back-propagation neural network
    • Heermann P.D. and Khazenie N., Classification of multispectral remote sensing data using a back-propagation neural network, IEEE Transactions on Geoscience and Remote Sensing, 30, 81, 1992.
    • (1992) IEEE Transactions on Geoscience and Remote Sensing , vol.30 , pp. 81
    • Heermann, P.D.1    Khazenie, N.2
  • 4
    • 85056346370 scopus 로고
    • Pattern classification for remote sensing data using neural network, Transactions of the Institute of Systems
    • Yoshida T., Omatu S., and Teranishi M., Pattern classification for remote sensing data using neural network, Transactions of the Institute of Systems, Control and Information Engineers, 4, 11, 1991.
    • (1991) Control and Information Engineers , vol.4 , pp. 11
    • Yoshida, T.1    Omatu, S.2    Teranishi, M.3
  • 8
    • 0023383513 scopus 로고
    • Imaging radar polarization signatures: Theory and observation
    • Van Zyl J.J., Zebker H.A., and Elach C., Imaging radar polarization signatures: theory and observation, Radio Science, 22, 529, 1987.
    • (1987) Radio Science , vol.22 , pp. 529
    • van Zyl, J.J.1    Zebker, H.A.2    Elach, C.3
  • 11
    • 85056315827 scopus 로고    scopus 로고
    • Sequential minimal optimization: A fast algorithm for training support vector machines, Technical Report MSR-TR-98-14, Microsoft Research
    • Platt J., Sequential minimal optimization: A fast algorithm for training support vector machines, Technical Report MSR-TR-98-14, Microsoft Research, 1998.
    • (1998)
    • Platt, J.1
  • 12
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • B. Schölkopf, C.J.C. Burges, and A.J. Smola, Eds, MIT Press, Cambridge, MA
    • Joachims T., Making large-scale SVM learning practical, In B. Schölkopf, C.J.C. Burges, and A.J. Smola, Eds., Advanced in Kernel Method—Support Vector Learning, MIT Press, Cambridge, MA, 1998.
    • (1998) Advanced in Kernel Method—Support Vector Learning
    • Joachims, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.