Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging

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Title
Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging
Authors
Keywords
Deep learning (DL), Hyperspectral remote sensing, Data reduction, Segmented stacked autoencoder (S-SAE)
Journal
NEUROCOMPUTING
Volume 185, Issue -, Pages 1-10
Publisher
Elsevier BV
Online
2015-12-23
DOI
10.1016/j.neucom.2015.11.044

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