Ten deep learning techniques to address small data problems with remote sensing

Researchers and engineers have increasingly used Deep Learning (DL) for a variety of Remote Sensing (RS) tasks. However, data from local observations or via ground truth is often quite limited for training DL models, especially when these models represent key socio-environmental problems, such as th...

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Bibliographic Details

Published in:	International Journal of Applied Earth Observations and Geoinformation
Main Authors:	Anastasiia Safonova, Gohar Ghazaryan, Stefan Stiller, Magdalena Main-Knorn, Claas Nendel, Masahiro Ryo
Format:	Article
Language:	English
Published:	Elsevier 2023-12-01
Subjects:	Small data problems Remote sensing Deep learning Transfer learning Few-shot learning Zero-shot learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S156984322300393X