Semisupervised Variational Generative Adversarial Networks for Hyperspectral Image Classification
Although the hyperspectral image (HSI) classification is extensively investigated, this task remains challenging when the number of labeled samples is extremely limited. In this article, we overcome this challenge by using synthetic samples and proposing semisupervised variational generative adversa...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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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/9007673/ |