Attention Multisource Fusion-Based Deep Few-Shot Learning for Hyperspectral Image Classification
Recently, deep learning-based methods outperform others in hyperspectral image (HSI) classification. However, the deep learning methods require sufficient labeled samples to improve performance, which is unfeasible in practice. The training labels are usually limited in HSIs that need to be classifi...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9527083/ |