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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Zhenbang Hao, Christopher J. Post, Elena A. Mikhailova, Lili Lin, Jian Liu, Kunyong Yu
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2022-03-01
Sarja:	Remote Sensing
Aiheet:	UAV imagery transfer learning instance segmentation label accuracy sample labeling
Linkit:	https://www.mdpi.com/2072-4292/14/7/1561
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!