Remote Sensing Image Scene Classification with Self-Supervised Learning Based on Partially Unlabeled Datasets

Remote Sensing Image Scene Classification with Self-Supervised Learning Based on Partially Unlabeled Datasets

In recent years, supervised learning, represented by deep learning, has shown good performance in remote sensing image scene classification with its powerful feature learning ability. However, this method requires large-scale and high-quality handcrafted labeled datasets, which leads to a high cost...

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Bibliographic Details
Main Authors: Xiliang Chen, Guobin Zhu, Mingqing Liu
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
self-supervised learning
vision transformer
random mask
remote sensing image scene classification
unlabeled datasets
Online Access:https://www.mdpi.com/2072-4292/14/22/5838

Internet

https://www.mdpi.com/2072-4292/14/22/5838

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