期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN:2194-9042
电子版ISSN:2194-9050
出版年度:2008
卷号:XXXVII Part B2
页码:241-246
出版社:Copernicus Publications
摘要:The paper proposed a method of weather classification based on cloud model and hierarchical clustering. Firstly, according to the weather sampling data from FY-2C images, cluster the brightness values of five wave bands by hierarchical clustering approach based on cloud model, and generate the centres and the parameters of clusters of image features in different rainy weather types. Secondly, through the precondition cloud generator, compute the membership degree of each pixel of FY-2C images to each cluster which represented by cloud model. Lastly, determinate the precipitation weather type of corresponding weather stations. The experiments validate the proposed method
关键词:Cloud Model; Hierarchical Clustering; Data Mining; Weather Classification