The Deep Belief and Self-Organizing Neural Network as a Semi-Supervised Classification Method for Hyperspectral Data

The Deep Belief and Self-Organizing Neural Network as a Semi-Supervised Classification Method for Hyperspectral Data

Hyperspectral data is not linearly separable, and it has a high characteristic dimension. This paper proposes a new algorithm that combines a deep belief network based on the Boltzmann machine with a self-organizing neural network. The primary features of the hyperspectral image are extracted with a...

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Bibliographic Details
Main Authors: Wei Lan, Qingjian Li, Nan Yu, Quanxin Wang, Suling Jia, Ke Li
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Applied Sciences
Subjects:
DBN
data compression
hyperspectral
SOM
pattern classification
Online Access:https://www.mdpi.com/2076-3417/7/12/1212

Internet

https://www.mdpi.com/2076-3417/7/12/1212

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