Deep multimodal fusion for ground-based cloud classification in weather station networks

Deep multimodal fusion for ground-based cloud classification in weather station networks

Abstract Most existing methods only utilize the visual sensors for ground-based cloud classification, which neglects other important characteristics of cloud. In this paper, we utilize the multimodal information collected from weather station networks for ground-based cloud classification and propos...

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Bibliographic Details
Main Authors: Shuang Liu, Mei Li
Format: Article
Language:English
Published: SpringerOpen 2018-02-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Ground-based cloud
Mutlimodal information
Convolutional neural networks
Weather station networks
Online Access:http://link.springer.com/article/10.1186/s13638-018-1062-0

Internet

http://link.springer.com/article/10.1186/s13638-018-1062-0

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