A New Application of Unsupervised Learning to Nighttime Sea Fog Detection

This paper presents a nighttime sea fog detection algorithm incorporating unsupervised learning technique. The algorithm is based on data sets that combine brightness temperatures from the 3.7 μm and 10.8 μm channels of the meteorological imager (MI) onboard the Communication, Ocean and Meteorologic...

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Detalles Bibliográficos
Autores principales: Shin, Daegeun, Kim, Jae-Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Meteorological Society 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244660/
https://www.ncbi.nlm.nih.gov/pubmed/30524666
http://dx.doi.org/10.1007/s13143-018-0050-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6244660/
https://www.ncbi.nlm.nih.gov/pubmed/30524666
http://dx.doi.org/10.1007/s13143-018-0050-y

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