Deep Kernel Extreme-Learning Machine for the Spectral–Spatial Classification of Hyperspectral Imagery

Deep Kernel Extreme-Learning Machine for the Spectral–Spatial Classification of Hyperspectral Imagery

Extreme-learning machines (ELM) have attracted significant attention in hyperspectral image classification due to their extremely fast and simple training structure. However, their shallow architecture may not be capable of further improving classification accuracy. Recently, deep-learning-based alg...

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Bibliographic Details
Main Authors: Jiaojiao Li, Bobo Xi, Qian Du, Rui Song, Yunsong Li, Guangbo Ren
Format: Article
Language:English
Published: MDPI AG 2018-12-01
Series:Remote Sensing
Subjects:
hyperspectral classification
deep layer
kernel-based ELM
spectral and spatial features
Online Access:https://www.mdpi.com/2072-4292/10/12/2036

Internet

https://www.mdpi.com/2072-4292/10/12/2036

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