Weather Classification of Sunny or Cloudy Day Based on an Outdoor Color Image
ZHANG Shi-hui1,2,DU Xue-zhe1,HE Qi1,DONG Li-jian1
1. School of Information Science and Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
2. The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province, Qinhuangdao, Hebei 066004, China
Abstract：A novel approach to classify whether an outdoor color image is sunny or cloudy is proposed by using random forest. Firstly, two new weather features named sky frequency histogram and shadow energy are defined respectively, and their calculation methods are presented. Meanwhile, the transmission feature is introduced in weather classification for the first time. These three features are combined with the existing features to form the candidate weather feature set. Secondly, a new feature importance calculation method named Fisher-Random Forest is proposed to select weather features. Finally, the selected weather features are input into the random forest classifier in the form of vector to classify whether the outdoor color image is sunny or cloudy. The experimental results demonstrate that, compared with other methods, the proposed approach has higher accuracy and better generality.
张世辉,杜雪哲,何琦,董利健. 基于单幅户外彩色图像实现天气晴阴分类[J]. 计量学报, 2019, 40(6): 986-993.
ZHANG Shi-hui,DU Xue-zhe,HE Qi,DONG Li-jian. Weather Classification of Sunny or Cloudy Day Based on an Outdoor Color Image. Acta Metrologica Sinica, 2019, 40(6): 986-993.
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2019, Vol. 40 
