Generative Adversarial Networks for Zero-Shot Remote Sensing Scene Classification

Generative Adversarial Networks for Zero-Shot Remote Sensing Scene Classification

Deep learning-based methods succeed in remote sensing scene classification (RSSC). However, current methods require training on a large dataset, and if a class does not appear in the training set, it does not work well. Zero-shot classification methods are designed to address the classification for...

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Bibliographic Details
Main Authors:	Li, Z. (Author), Lin, D. (Author), Wang, Y. (Author), Zhang, D. (Author), Zhang, J. (Author)
Format:	Article
Language:	English
Published:	MDPI 2022
Subjects:	generative adversarial network remote sensing scene classification zero-shot learning
Online Access:	View Fulltext in Publisher

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