Multimodal Ground-Based Cloud Classification Using Joint Fusion Convolutional Neural Network

Multimodal Ground-Based Cloud Classification Using Joint Fusion Convolutional Neural Network

The accurate ground-based cloud classification is a challenging task and still under development. The most current methods are limited to only taking the cloud visual features into consideration, which is not robust to the environmental factors. In this paper, we present the novel joint fusion convo...

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Bibliographic Details
Main Authors: Shuang Liu, Mei Li, Zhong Zhang, Baihua Xiao, Xiaozhong Cao
Format: Article
Language:English
Published: MDPI AG 2018-05-01
Series:Remote Sensing
Subjects:
ground-based cloud classification
joint fusion convolutional neural network
multimodal information
feature fusion
Online Access:http://www.mdpi.com/2072-4292/10/6/822

Internet

http://www.mdpi.com/2072-4292/10/6/822

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