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

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
Main Authors: Anastasiia Safonova, Gohar Ghazaryan, Stefan Stiller, Magdalena Main-Knorn, Claas Nendel, Masahiro Ryo
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:International Journal of Applied Earth Observations and Geoinformation
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

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http://www.sciencedirect.com/science/article/pii/S156984322300393X

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