A New Convolutional Kernel Classifier for Hyperspectral Image Classification

Multiplekernel learning (MKL) algorithms are among the most successful classification methods for hyperspectral data. Nevertheless, these algorithms suffer from two main drawbacks of computational complexity and debility to admit to the end-to-end learning paradigm. This article proposed a convoluti...

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Autores principales:	Mohsen Ansari, Saeid Homayouni, Abdolreza Safari, Saeid Niazmardi
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Convolutional neural network (CNN) deep kernel hyperspectral classification multiple kernel learning (MKL) Ocean engineering TC1501-1800 Geophysics. Cosmic physics QC801-809
Acceso en línea:	https://doaj.org/article/fd4f579c698548bc9486964d61cb91d0
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A New Convolutional Kernel Classifier for Hyperspectral Image Classification

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