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...

Full description

Bibliographic Details
Main Authors: Mohsen Ansari, Saeid Homayouni, Abdolreza Safari, Saeid Niazmardi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Convolutional neural network (CNN)
deep kernel
hyperspectral classification
multiple kernel learning (MKL)
Online Access:https://ieeexplore.ieee.org/document/9591367/

Internet

https://ieeexplore.ieee.org/document/9591367/

Similar Items