IEEE Transactions on Geoscience and Remote Sensing· 2016Q1
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
- 2,921citations
- Q1SCImago
- 2016year
Short summary
A novel regularized deep feature extraction method using 3-D CNNs and virtual sample enhancement is proposed for hyperspectral image classification, achieving competitive results against state-of-the-art methods.
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