Unsupervised Bayesian learning for rice panicle segmentation with UAV images

BACKGROUND: In this paper, an unsupervised Bayesian learning method is proposed to perform rice panicle segmentation with optical images taken by unmanned aerial vehicles (UAV) over paddy fields. Unlike existing supervised learning methods that require a large amount of labeled training data, the un...

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Detalles Bibliográficos
Autores principales: Hayat, Md Abul, Wu, Jingxian, Cao, Yingli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7035759/
https://www.ncbi.nlm.nih.gov/pubmed/32123536
http://dx.doi.org/10.1186/s13007-020-00567-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7035759/
https://www.ncbi.nlm.nih.gov/pubmed/32123536
http://dx.doi.org/10.1186/s13007-020-00567-8

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