SKY CONDITION CLASSIFICATION USING THE WHOLE-SKY INFRARED CLOUD-MEASURING SYSTEM DATA

摘要：

Cloud classification using satellite images has been done for many years, while the study of ground-based cloud classification is still underway.This seems to be difficult because of their local characters, complex shapes and quickly changes.In resent years, sky condition classification was suggested instead of cloud classification.In this research, a method using Fuzzy Uncertainty Texture Spectrum to classify sky conditions is proposed.The method is firstly applied to 200 simplex sky conditions images obtained from the whole sky infrared cloud measuring system in Nanjing, China.The classification accuracy rates of stratiform, cumuliform, waveform, cirriform clouds and clear sky compared with human observations are 100％, 82.5％, 80％, 82.5％, and 100％ respectively, the average accuracy rate is 89％.While the method is applied to 217 complex sky conditions, the accuracy rates are reduced to 78.6％, 61.8％, 66.7％, 57.7％, and 82.0％ respectively, and the average accuracy rate is only 69.6％.It shows that the complex sky conditions are still difficult to be classified only by using the texture-based feature extraction methods.

关键词： Fuzzy uncertainty texture spectrum Sky condition classification Whole-sky infrared cloud-measuring system

作者: LIU LEI GAO TAICHANG SUN XUEJIN ZHAO SHIJUN

作者单位: Institute of Meteorology,PLA Univ. of Sci. & Tech.,Nanjing 211101

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 1833-1837

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）