Zabalza, Jaime and Ren, Jinchang and Zheng, Jiangbin and Han, Junwei and Zhao, Huimin and Li, Shutao and Marshall, Stephen (2015) Novel two dimensional singular spectrum analysis for effective feature extraction
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منابع مشابه
Zabalza, Jaime and Ren, Jinchang and Wang, Zheng and Zhao, Huimin and Wang, Jun and Marshall, Stephen (2015) Fast implementation of singular spectrum analysis for effective feature extraction in hyperspectral imaging. IEEE Journal of Selected Topics in Earth
Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in ...
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Strathprints is designed to allow users to access the research output of the University of Strathclyde. Unless otherwise explicitly stated on the manuscript, Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Please check the manuscript for details of any other licences that may have been applied. You may not engage in ...
متن کاملTo appear in the Neurocomputing Journal, 2015
Stacked autoencoders (SAEs), as part of the deep learning (DL) framework, have been recently proposed for feature extraction in hyperspectral remote sensing. With the help of hidden nodes in deep layers, a high-level abstraction is achieved for data reduction whilst maintaining the key information of the data. As hidden nodes in SAEs have to deal simultaneously with hundreds of features from hy...
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