Weather Classification using Convolutional Neural Networks

被引：0
|
作者：
An, Jehong [1 ]
Chen, Yunfan [1 ]
Shin, Hyunchul [1 ]
机构：
[1] Hanyang Univ, Div Elect Engn, Ansan, South Korea
来源：
2018 INTERNATIONAL SOC DESIGN CONFERENCE (ISOCC) | 2018年
基金：
新加坡国家研究基金会;
关键词：
vision; convolutional neural networks; deep learning; image classification;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：245 / 246
页数：2
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