Individual Tree Crown Segmentation and Crown Width Extraction From a Heightmap Derived From Aerial Laser Scanning Data Using a Deep Learning Framework

Deriving individual tree crown (ITC) information from light detection and ranging (LiDAR) data is of great significance to forest resource assessment and smart management. After proof-of-concept studies, advanced deep learning methods have been shown to have high efficiency and accuracy in remote se...

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Detalles Bibliográficos
Autores principales: Sun, Chenxin, Huang, Chengwei, Zhang, Huaiqing, Chen, Bangqian, An, Feng, Wang, Liwen, Yun, Ting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237566/
https://www.ncbi.nlm.nih.gov/pubmed/35774816
http://dx.doi.org/10.3389/fpls.2022.914974

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9237566/
https://www.ncbi.nlm.nih.gov/pubmed/35774816
http://dx.doi.org/10.3389/fpls.2022.914974

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