SSDC-DenseNet: A Cost-Effective End-to-End Spectral-Spatial Dual-Channel Dense Network for Hyperspectral Image Classification
In recent years, various deep learning-based methods have been applied in hyperspectral image (HSI) classification. Among them, spectral-spatial approaches have demonstrated their power to yield high accuracies. However, these methods tend to be computationally expensive. Specifically, two classic w...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8746229/ |