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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024748/
https://www.ncbi.nlm.nih.gov/pubmed/29988466
http://dx.doi.org/10.3389/fpls.2018.00866

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6024748/
https://www.ncbi.nlm.nih.gov/pubmed/29988466
http://dx.doi.org/10.3389/fpls.2018.00866

Ejemplares similares