IEEE Geoscience and Remote Sensing Letters· 2019Q1
HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification
- 1,763citations
- Q1SCImago
- 2019year
Short summary
HybridSN, a novel hybrid 3-D-2-D CNN architecture, achieves state-of-the-art hyperspectral image classification by jointly learning spatial-spectral features and abstract spatial representations, outperforming existing methods on benchmark datasets.
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