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...

Whakaahuatanga katoa

I tiakina i:

Ngā taipitopito rārangi puna kōrero
Ngā kaituhi matua:	Zihao Li, Daobing Zhang, Yang Wang, Daoyu Lin, Jinghua Zhang
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2022-04-01
Rangatū:	Applied Sciences
Ngā marau:	remote sensing scene classification zero-shot learning generative adversarial network
Urunga tuihono:	https://www.mdpi.com/2076-3417/12/8/3760
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!

Generative Adversarial Networks for Zero-Shot Remote Sensing Scene Classification

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