Leveraging Domain Adaptation for Low-Resource Geospatial Machine Learning

Machine learning in remote sensing has matured alongside a proliferation in availability and resolution of geospatial imagery, but its utility is bottlenecked by the need for labeled data. What's more, many labeled geospatial datasets are specific to certain regions, instruments, or extreme wea...

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Veröffentlicht in:	arXiv.org 2021-07
Hauptverfasser:	Lynch, Jack, Wookey, Sam
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation Domains Machine learning Remote sensing
Online-Zugang:	Volltext
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