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Volumn 32, Issue 17, 2011, Pages 4933-4941

A multigradient algorithm using a mixture of experts architecture for land cover classification of multisensor images

Author keywords

[No Author keywords available]

Indexed keywords

MAXIMUM LIKELIHOOD; MIXTURES; NETWORK ARCHITECTURE; STOCHASTIC SYSTEMS; SYNTHETIC APERTURE RADAR;

EID: 80053123333     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2010.493564     Document Type: Article
Times cited : (6)

References (20)
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    • Chen, K.1    Xu, L.2    Chi, H.3
  • 6
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    • Multigradient: A new neural network learning algorithm for pattern classification
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    • Go, J.1    Han, G.2    Kim, H.3    Lee, C.4
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    • 0000262562 scopus 로고
    • Hierarchical mixtures of experts and the EMalgorithm
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    • Jordan, M.I.1    Jacobs, R.A.2
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  • 13
    • 7944231537 scopus 로고    scopus 로고
    • An elliptical basis function network for classification of remote sensing images
    • Luo, J.-C., Leung, Y., Zheng, J. and Ma, J.-H., 2004, An elliptical basis function network for classification of remote sensing images. Journal of Geographical Systems, 6, pp. 219-236.
    • (2004) Journal of Geographical Systems , vol.6 , pp. 219-236
    • Luo, J.-C.1    Leung, Y.2    Zheng, J.3    Ma, J.-H.4
  • 15
    • 2142822924 scopus 로고    scopus 로고
    • Classification of multitemporal remote sensing images by a fuzzy fusion of spectral and spatio-temporal contextual information
    • Melgani, F., 2004, Classification of multitemporal remote sensing images by a fuzzy fusion of spectral and spatio-temporal contextual information. International Journal of Pattern Recognition and Artificial Intelligence, 18, pp. 143-156.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.