Two-Stream Networks for Contrastive Learning in Hyperspectral Image Classification
In the domain of hyperspectral image (HSI) classification, the majority of deep learning methods have necessitated a substantial number of manually annotated samples to achieve outstanding results. However, the process of annotating HSI is conducted at the pixel-level, rendering it not only time-con...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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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/10352606/ |