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Volumn 38, Issue 4W19, 2011, Pages 57-62

Integrating model knowledge into SVM classification - Fusing hyperspectral and laserscanning data by kernel composition

Author keywords

Airborne laserscanning; Data fusion; Hyperspectral; Kernel composition; Support vector machine

Indexed keywords


EID: 84923920709     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (15)
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    • Classifying roof materials using data fusion through kernel composition - Comparing ν-SVM and one-class SVM
    • Joint Urban Remote Sensing Event, Munich
    • Braun, A., Weidner, U. and Hinz, S., 2011. Classifying Roof Materials using Data Fusion through Kernel Composition - Comparing ν-SVM and One-class SVM. In: In Proceedings: JURSE, Joint Urban Remote Sensing Event, Munich.
    • (2011) Proceedings: JURSE
    • Braun, A.1    Weidner, U.2    Hinz, S.3
  • 3
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges, C, 1998. A tutorial on support vector machines for pattern recognition. Data mining and knowledge discovery 2(2), pp. 121-167.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 121-167
    • Burges, C.1
  • 7
    • 34249753618 scopus 로고
    • Support-vector networks
    • Cortes, C. and Vapnik, V, 1995. Support-vector networks. Machine learning 20(3), pp. 273-297.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.2
  • 8
    • 0037138473 scopus 로고    scopus 로고
    • An assessment of support vector machines for land cover classification
    • Huang, C, Davis, L. and Townshend, J., 2002. An assessment of support vector machines for land cover classification. International Journal of Remote Sensing 23(4), pp. 725-749.
    • (2002) International Journal of Remote Sensing , vol.23 , Issue.4 , pp. 725-749
    • Huang, C.1    Davis, L.2    Townshend, J.3
  • 9
    • 0037822222 scopus 로고    scopus 로고
    • Asymptotic behaviors of support vector machines with Gaussian kernel
    • Keerthi, S. and Lin, C, 2003. Asymptotic behaviors of support vector machines with Gaussian kernel. Neural computation 15(7), pp. 1667-1689.
    • (2003) Neural Computation , vol.15 , Issue.7 , pp. 1667-1689
    • Keerthi, S.1    Lin, C.2
  • 10
    • 33745680760 scopus 로고    scopus 로고
    • Use of hyperspectral and laser scanning data for the characterization of surfaces in urban areas
    • Lemp, D. and Weidner, U., 2004. Use of hyperspectral and laser scanning data for the characterization of surfaces in urban areas. In: XXth ISPRS Congress.
    • (2004) XXth ISPRS Congress
    • Lemp, D.1    Weidner, U.2
  • 11
    • 4344614511 scopus 로고    scopus 로고
    • Classification of hyperspectral remote sensing images with support vector machines
    • IEEE Transactions on
    • Melgani, F and Bruzzone, L., 2004. Classification of hyperspectral remote sensing images with support vector machines. Geoscience and Remote Sensing, IEEE Transactions on 42(8), pp. 1778-1790.
    • (2004) Geoscience and Remote Sensing , vol.42 , Issue.8 , pp. 1778-1790
    • Melgani, F.1    Bruzzone, L.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.