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: Zihao Li, Daobing Zhang, Yang Wang, Daoyu Lin, Jinghua Zhang
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
remote sensing scene classification
zero-shot learning
generative adversarial network
Online Access:https://www.mdpi.com/2076-3417/12/8/3760

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https://www.mdpi.com/2076-3417/12/8/3760

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