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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Auteurs principaux: Mohsen Ansari, Saeid Homayouni, Abdolreza Safari, Saeid Niazmardi
Format: article
Langue:EN
Publié: IEEE 2021
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Accès en ligne:https://doaj.org/article/fd4f579c698548bc9486964d61cb91d0
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