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Volumn , Issue , 2007, Pages 3802-3805

Hyperspectral image classification with Mahalanobis relevance vector machines

Author keywords

[No Author keywords available]

Indexed keywords

MAHALANOBIS KERNEL; RELEVANCE VECTOR MACHINES (RVM);

EID: 78650887658     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2007.4423671     Document Type: Conference Paper
Times cited : (12)

References (23)
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    • Support vector machines for hyperspectral remote sensing classification
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    • Gualtieri, J.A.1    Cromp, R.F.2
  • 5
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    • An assessment of support vector machines for land cover classification
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    • Huang, C.1    Davis, L.S.2    Townshend, J.R.G.3
  • 7
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    • Classification of hyperspectral remote-sensing images with support vector machines
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    • F. Melgani and L. Bruzzone, "Classification of hyperspectral remote-sensing images with support vector machines," IEEE Transactions on Geoscience and Remote Sensing, vol. 42, no. 8, pp. 1778-1790, Aug 2004.
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  • 13
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    • G. Camps-Valls, L. Gomez-Chova, J. Vila-Francés, J. Amorós-López, J. Muñoz-Marí, and J. Calpe-Maravilla, Relevance vector machines for sparse learning of biophysical parameters, in SPIE International Symposium Remote Sensing, XI, Bruges, Belgium, Set 2005, 5982.
    • G. Camps-Valls, L. Gomez-Chova, J. Vila-Francés, J. Amorós-López, J. Muñoz-Marí, and J. Calpe-Maravilla, "Relevance vector machines for sparse learning of biophysical parameters," in SPIE International Symposium Remote Sensing, XI, Bruges, Belgium, Set 2005, vol. 5982.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.