A New Convolutional Kernel Classifier for Hyperspectral Image Classification

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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Bibliographic Details
Main Authors: Mohsen Ansari, Saeid Homayouni, Abdolreza Safari, Saeid Niazmardi
Format: article
Language:EN
Published: IEEE 2021
Subjects:
Convolutional neural network (CNN)
deep kernel
hyperspectral classification
multiple kernel learning (MKL)
Ocean engineering
TC1501-1800
Geophysics. Cosmic physics
QC801-809
Online Access:https://doaj.org/article/fd4f579c698548bc9486964d61cb91d0
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https://doaj.org/article/fd4f579c698548bc9486964d61cb91d0

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