数字化卫星云图自动识别的动态聚类算法

AN DYNAMIC CLUSTER MODEL OF SATELLITE CLOUD PICTURE CLASSIFICATION

  • 摘要: 根据数字化气象卫星资料的特点,设计了对卫星云图进行自动分类识别的动态聚类算法。利用GMS-5的10.5~11.5μm和0.55~0.9μm两个通道的资料,采用迭代自组织的数据分析算法(ISODATA算法)对云图进行了分类试验。

     

    Abstract: On the basis of the characteristics of satellite cloud picture, this paper gives one automatic classification method of satellite cloud image:Iterative Self Organizing Data Analysis Techniques Algorithm (ISODATA). The satellite data used are from two channels of GMS 5. One channel is of 10.5-11.5μm, the other is of 0.55-0.9μm. The calculation shows:while the cloud image is classified as surface, high cloud, middle and low cloud, deep cloud, good results have been achieved.

     

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