IEEE Transactions on Geoscience and Remote Sensing· 2017Q1
Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework
- 1,871citations
- Q1SCImago
- 2017year
Short summary
A novel end-to-end spectral-spatial residual network (SSRN) classifies hyperspectral images using raw 3-D cubes, achieving state-of-the-art accuracy without manual feature engineering.
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