How Does Sample Labeling and Distribution Affect the Accuracy and Efficiency of a Deep Learning Model for Individual Tree-Crown Detection and Delineation

Monitoring and assessing vegetation using deep learning approaches has shown promise in forestry applications. Sample labeling to represent forest complexity is the main limitation for deep learning approaches for remote sensing vegetation classification applications, and few studies have focused on...

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Autors principals:	Zhenbang Hao, Christopher J. Post, Elena A. Mikhailova, Lili Lin, Jian Liu, Kunyong Yu
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-03-01
Col·lecció:	Remote Sensing
Matèries:	UAV imagery transfer learning instance segmentation label accuracy sample labeling
Accés en línia:	https://www.mdpi.com/2072-4292/14/7/1561
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