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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Korean Meteorological Society
2018
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| Materias: | |
| 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 |