Combined Kernel-Based BDT-SMO Classification of Hyperspectral Fused Images

To solve the poor generalization and flexibility problems that single kernel SVM classifiers have while classifying combined spectral and spatial features, this paper proposed a solution to improve the classification accuracy and efficiency of hyperspectral fused images: (1) different radial basis k...

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Detalles Bibliográficos
Autores principales: Huang, Fenghua, Yan, Luming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163336/
https://www.ncbi.nlm.nih.gov/pubmed/25243224
http://dx.doi.org/10.1155/2014/738250

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4163336/
https://www.ncbi.nlm.nih.gov/pubmed/25243224
http://dx.doi.org/10.1155/2014/738250

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