Comparative Assessment of Five Machine Learning Algorithms for Supervised Object-Based Classification of Submerged Seagrass Beds Using High-Resolution UAS Imagery

Knowledge about the spatial distribution of seagrasses is essential for coastal conservation efforts. Imagery obtained from unoccupied aerial systems (UAS) has the potential to provide such knowledge. Classifier choice and hyperparameter settings are, however, often based on time-consuming trial-and...

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Principais autores:	Aris Thomasberger, Mette Møller Nielsen, Mogens Rene Flindt, Satish Pawar, Niels Svane
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2023-07-01
Series:	Remote Sensing
Assuntos:	object-based image analysis OBIA unoccupied aerial systems UAS drones photogrammetry
Acceso en liña:	https://www.mdpi.com/2072-4292/15/14/3600
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