A Distance-Constrained Semantic Autoencoder for Zero-Shot Remote Sensing Scene Classification
Zero-shot remote sensing scene classification refers to the classification of new images from unseen scene classes and has become a topic of growing interest in the field of remote sensing. Semantic autoencoders are one of the mainstream zero-shot learning methods. However, such autoencoders may not...
| 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/9633210/ |