Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery

The accurate and comprehensive mapping of land cover has become a central task in modern environmental research, with increasing emphasis on machine learning approaches. However, a clear technical definition of the land cover class is a prerequisite for learning and applying a machine learning model...

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Autors principals:	Timo T. Stomberg, Johannes Leonhardt, Immanuel Weber, Ribana Roscher
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2023-12-01
Col·lecció:	Frontiers in Artificial Intelligence
Matèries:	explainable machine learning attributions saliency maps weakly-supervised learning remote sensing Sentinel-2
Accés en línia:	https://www.frontiersin.org/articles/10.3389/frai.2023.1278118/full
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