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Volumn , Issue , 2009, Pages

A comparison of kernel functions for intimate mixture models

Author keywords

Abundance estimation; Intimate mixtures; Kernel functions

Indexed keywords

ABUNDANCE ESTIMATION; HYPERSPECTRAL DATA; HYPERSPECTRAL IMAGERY; KERNEL FUNCTION; KERNEL METHODS; LINEAR MIXING MODELS; MATHEMATICAL FOUNDATIONS; MIXTURE MODEL; PHYSICS-BASED; RADIAL BASIS FUNCTIONS; REAL-WORLD; REPRODUCING KERNEL HILBERT SPACES; UNMIXING;

EID: 72049122681     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WHISPERS.2009.5289073     Document Type: Conference Paper
Times cited : (45)

References (14)
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  • 4
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    • Herzog, S.G.1    Mustard, J.F.2
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    • A quantitative and comparative analysis of linear and nonlinear spectral mixture models using radial basis function neural networks
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    • K. J. Guilfoyle, M. L. Althouse, and C.-I Chang, "A quantitative and comparative analysis of linear and nonlinear spectral mixture models using radial basis function neural networks," IEEE Transactions on Geoscience and Remote Sensing, vol. 39, no. 8, pp. 2314-2318, Aug. 2001.
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  • 6
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    • Nonlinear neural network mixture models for fractional abundance estimation in AVIRIS hyperspectral images
    • Pasadena, CA
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.