A Two-Stage Adaptation Network (TSAN) for Remote Sensing Scene Classification in Single-Source-Mixed-Multiple-Target Domain Adaptation (S²M²T DA) Scenarios

Over the past decade, domain adaptation (DA) algorithms have been proposed to address domain gap problems as they do not need any interpretation in the target domain. However, most existing efforts focus on scenarios with only one source domain and one target domain. In this article, we explore the...

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Bibliographic Details
Published in:IEEE transactions on geoscience and remote sensing 2022, Vol.60, p.1-13
Main Authors: Zheng, Juepeng, Wu, Wenzhao, Yuan, Shuai, Zhao, Yi, Li, Weijia, Zhang, Lixian, Dong, Runmin, Fu, Haohuan
Format: Article
Language:English
Subjects:
Accuracy
Adaptation
Adaptation models
Adversarial learning
Algorithms
Annotations
Classification
Data models
Datasets
deep learning
domain adaptation (DA)
Domains
Earth
Image classification
Methods
mixed-multiple-target domain
Remote sensing
remote sensing image classification
Satellites
self-supervised learning
Sensors
Supervised learning
Taxonomy
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