Research Progress on Few-Shot Learning for Remote Sensing Image Interpretation

The rapid development of deep learning brings effective solutions for remote sensing image interpretation. Training deep neural network models usually require a large number of manually labeled samples. However, there is a limitation to obtain sufficient labeled samples in remote sensing field to sa...

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Veröffentlicht in:	IEEE journal of selected topics in applied earth observations and remote sensing 2021, Vol.14, p.2387-2402
Hauptverfasser:	Sun, Xian, Wang, Bing, Wang, Zhirui, Li, Hao, Li, Hengchao, Fu, Kun
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Bibliometrics Data models Deep generative model Deep learning few-shot learning Image segmentation Learning systems Machine learning meta-learning metric learning Neural networks Object recognition Remote sensing Statistical analysis Task analysis Training transfer learning
Online-Zugang:	Volltext
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