Cargando…
Research on Cyanobacterial-Bloom Detection Based on Multispectral Imaging and Deep-Learning Method
Frequent outbreaks of cyanobacterial blooms have become one of the most challenging water ecosystem issues and a critical concern in environmental protection. To overcome the poor stability of traditional detection algorithms, this paper proposes a method for detecting cyanobacterial blooms based on...
Autores principales: | Song, Ze, Xu, Wenxin, Dong, Huilin, Wang, Xiaowei, Cao, Yuqi, Huang, Pingjie, Hou, Dibo, Wu, Zhengfang, Wang, Zhongyi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228740/ https://www.ncbi.nlm.nih.gov/pubmed/35746355 http://dx.doi.org/10.3390/s22124571 |
Ejemplares similares
-
Cyanobacterial Blooms and Microcystins in Southern Vietnam
por: Trung, Bui, et al.
Publicado: (2018) -
The Special and General Mechanism of Cyanobacterial Harmful Algal Blooms
por: Cheng, Wenduo, et al.
Publicado: (2023) -
Interannual Variability of Cyanobacterial Blooms in Lake Erie
por: Stumpf, Richard P., et al.
Publicado: (2012) -
Controlling cyanobacterial harmful blooms in freshwater ecosystems
por: Paerl, Hans W.
Publicado: (2017) -
Co-occurring microorganisms regulate the succession of cyanobacterial harmful algal blooms()
por: Wang, Kai, et al.
Publicado: (2021)