An Improved Cloud Classification Algorithm for China’s FY-2C Multi-Channel Images Using Artificial Neural Network

The crowning objective of this research was to identify a better cloud classification method to upgrade the current window-based clustering algorithm used operationally for China’s first operational geostationary meteorological satellite FengYun-2C (FY-2C) data. First, the capabilities of six widely...

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Detalles Bibliográficos
Autores principales: Liu, Yu, Xia, Jun, Shi, Chun-Xiang, Hong, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2009
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274136/
https://www.ncbi.nlm.nih.gov/pubmed/22346714
http://dx.doi.org/10.3390/s90705558

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3274136/
https://www.ncbi.nlm.nih.gov/pubmed/22346714
http://dx.doi.org/10.3390/s90705558

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