A Method of Weather Recognition Based on Outdoor Images

摘要：

To improve the quality of video surveillance in outdoor and automatic acquire of the weather situations, a method to recognize weather phenomenon based on outdoor images is presented. There are three features of our method: firstly, the features, such as the power spectrum slope, contrast, noise and saturation and so on are extracted, after analyzing the effect of weather situations on image; secondly, a decision tree is constructed in accordance with the distance between the features; thirdly, when every SVM classifier on the non-leaf node of the decision tree is constructed, some features are selected by assigning the weight. The experiment results prove that the proposed method can effectively recognize the weather situations in outdoor.

关键词： outdoor image weather recognition power spectrum slop SVM Decision Tree

作者: Qian Li Yi Kong Baoqiang Li

作者单位: Institute of MeteorologyPLA University of Science and TechnologyNanJing, China Institute of Meteorology PLA University of Science and Technology NanJing, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 430-435

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）