Deep Kernel Extreme-Learning Machine for the Spectral–Spatial Classification of Hyperspectral Imagery
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Title
Deep Kernel Extreme-Learning Machine for the Spectral–Spatial Classification of Hyperspectral Imagery
Authors
Keywords
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Journal
Remote Sensing
Volume 10, Issue 12, Pages 2036
Publisher
MDPI AG
Online
2018-12-15
DOI
10.3390/rs10122036
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- Spectral-Spatial Classification of Hyperspectral Image Based on Kernel Extreme Learning Machine
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- Advances in Spectral-Spatial Classification of Hyperspectral Images
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- (2008) Driss Haboudane et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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