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Weather recognition via classification labels and weather-cue maps
Zhao, Bin1; Hua, Lulu1; Li, Xuelong1; Lu, Xiaoqiang2; Wang, Zhigang1
作者部门光谱成像技术研究室
2019-11
发表期刊Pattern Recognition
ISSN00313203
卷号95页码:272-284
产权排序2
摘要

Although it is of great importance to recognize weather conditions automatically, this task has not been explored thoroughly in practice. Generally, most approaches in the literature simply treat it as a common image classification task, i.e., assigning a certain weather label to each image. However, there are significant differences between weather recognition and common image classification, since several weather conditions tend to occur simultaneously, like foggy and cloudy. Obviously, a single weather label is insufficient to provide a comprehensive description of the weather conditions. In this case, we propose to utilize auxiliary weather-cues, e.g., black clouds and blue sky, for comprehensive weather description. Specifically, a multi-task framework is designed to jointly deal with the weather-cue segmentation task and weather classification task. Benefit from the intrinsic relationships lying in the two tasks, exploring the information of weather-cues can not only provide a comprehensive description of weather conditions, but also help the weather classification task to learn more effective features, and further improve the performance. Besides, we construct two large-scale weather recognition datasets equipped with both weather labels and segmentation masks of weather-cues. Experiment results demonstrate the excellent performance of our approach. The constructed two datasets will be available at https://github.com/wzgwzg/Multitask_Weather. © 2019 Elsevier Ltd

关键词Weather recognition Weather-cue map Multi-task framework
DOI10.1016/j.patcog.2019.06.017
收录类别SCI ; EI
语种英语
WOS记录号WOS:000478710600023
出版者Elsevier Ltd
EI入藏号20192707146229
引用统计
被引频次:26[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/31573
专题光谱成像技术研究室
通讯作者Lu, Xiaoqiang
作者单位1.School of Computer Science and Center for OPTical IMagery Analysis and Learning (OPTIMAL), Northwestern Polytechnical University, Xi'an; Shaanxi; 710072, China;
2.The Key Laboratory of Spectral Imaging Technology CAS, Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an; Shaanxi; 710119, China
推荐引用方式
GB/T 7714
Zhao, Bin,Hua, Lulu,Li, Xuelong,et al. Weather recognition via classification labels and weather-cue maps[J]. Pattern Recognition,2019,95:272-284.
APA Zhao, Bin,Hua, Lulu,Li, Xuelong,Lu, Xiaoqiang,&Wang, Zhigang.(2019).Weather recognition via classification labels and weather-cue maps.Pattern Recognition,95,272-284.
MLA Zhao, Bin,et al."Weather recognition via classification labels and weather-cue maps".Pattern Recognition 95(2019):272-284.
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