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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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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4163336/ https://ncbi.nlm.nih.gov/pubmed/25243224 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/738250 |
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