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Weather Classification using Convolutional Neural Networks

Authors
An, J.Chen, Y.Shin, H.
Issue Date
2019
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Convolutional neural networks; Deep learning; Image classification; Vision
Citation
Proceedings - International SoC Design Conference 2018, ISOCC 2018, pp.245 - 246
Indexed
SCOPUS
Journal Title
Proceedings - International SoC Design Conference 2018, ISOCC 2018
Start Page
245
End Page
246
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/4587
DOI
10.1109/ISOCC.2018.8649921
ISSN
0000-0000
Abstract
Deep learning is one of the most popular fields in recent years and is applicable to many fields, such as computer vision and image processing. In this paper, we describe a new weather image classification technique using Alexnet and Resnet convolutional neural networks (CNN) combined with a multi- class Support Vector Machine (SVM). Experimental results in weather database, desnownet, and d-hazy datasets demonstrate that the proposed method achieves good performance in weather classification. © 2018 IEEE.
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