Deep Learning: Individual Maize Segmentation From Terrestrial Lidar Data Using Faster R-CNN and Regional Growth Algorithms

The rapid development of light detection and ranging (Lidar) provides a promising way to obtain three-dimensional (3D) phenotype traits with its high ability of recording accurate 3D laser points. Recently, Lidar has been widely used to obtain phenotype data in the greenhouse and field with along ot...

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Detalhes bibliográficos
Publicado no:Front Plant Sci
Main Authors: Jin, Shichao, Su, Yanjun, Gao, Shang, Wu, Fangfang, Hu, Tianyu, Liu, Jin, Li, Wenkai, Wang, Dingchang, Chen, Shaojiang, Jiang, Yuanxi, Pang, Shuxin, Guo, Qinghua
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2018
Assuntos:
Plant Science
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6024748/
https://ncbi.nlm.nih.gov/pubmed/29988466
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpls.2018.00866
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