Deep Convolutional Neural Networks Capabilities for Binary Classification of Polar Mesocyclones in Satellite Mosaics

Deep Convolutional Neural Networks Capabilities for Binary Classification of Polar Mesocyclones in Satellite Mosaics

Polar mesocyclones (MCs) are small marine atmospheric vortices. The class of intense MCs, called polar lows, are accompanied by extremely strong surface winds and heat fluxes and thus largely influencing deep ocean water formation in the polar regions. Accurate detection of polar mesocyclones in hig...

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Bibliographic Details
Main Authors: Mikhail Krinitskiy, Polina Verezemskaya, Kirill Grashchenkov, Natalia Tilinina, Sergey Gulev, Matthew Lazzara
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Atmosphere
Subjects:
deep learning
convolutional neural networks
polar mesocyclones
satellite data processing
pattern recognition
Online Access:https://www.mdpi.com/2073-4433/9/11/426

Internet

https://www.mdpi.com/2073-4433/9/11/426

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