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Hyperspectral Data Feature Extraction Using Deep Belief Network Cover

Hyperspectral Data Feature Extraction Using Deep Belief Network

International Journal on Smart Sensing and Intelligent Systems
Volume 9 (2016): Issue 4 (January 2016)
By: Jiang Xinhua,  Xue Heru,  Zhang Lina and  Zhou Yanqing  
Open Access
|Dec 2016

Authors

Jiang Xinhua

jiang-xh@163.com

College of Computer and Information Engineering, Inner Mongolia Agricultural University, Inner Mongolia, P. R China

Xue Heru

College of Computer and Information Engineering, Inner Mongolia Agricultural University, Inner Mongolia, P. R China

Zhang Lina

College of Physics and Electronic Information, Inner Mongolia Normal University, Inner Mongolia, P. R. China

Zhou Yanqing

College of Computer and Information Engineering, Inner Mongolia Agricultural University, Inner Mongolia, P. R China
DOI: https://doi.org/10.21307/ijssis-2017-949 | Journal eISSN: 1178-5608
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Language: English
Page range: 1991 - 2009
Submitted on: Jul 15, 2016
|
Accepted on: Oct 26, 2016
|
Published on: Dec 1, 2016
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Hyperspectral,
Feature extraction,
Deep learning,
Deep belief network,
Restricted boltzman machines
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2016 Jiang Xinhua, Xue Heru, Zhang Lina, Zhou Yanqing, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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