Hyperspectral Imagery Classification Using Sparse Representations of Convolutional Neural Network Features
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Title
Hyperspectral Imagery Classification Using Sparse Representations of Convolutional Neural Network Features
Authors
Keywords
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Journal
Remote Sensing
Volume 8, Issue 2, Pages 99
Publisher
MDPI AG
Online
2016-01-28
DOI
10.3390/rs8020099
References
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Related references
Note: Only part of the references are listed.- On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery
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- Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks
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- (2013) Mattia Pedergnana et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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- (2013) Rongrong Ji et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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- (2010) I Arel et al. IEEE Computational Intelligence Magazine
- Morphological Attribute Profiles for the Analysis of Very High Resolution Images
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- Robust Face Recognition via Sparse Representation
- (2009) J. Wright et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
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- Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles
- (2008) Mathieu Fauvel et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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