CHINESE JOURNAL OF COMPUTATIONAL PHYSICS ›› 1997, Vol. 14 ›› Issue (S1): 490-492.

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AN DYNAMIC CLUSTER MODEL OF SATELLITE CLOUD PICTURE CLASSIFICATION

Yang Yuekui, ZhangFangyou, Liu Yuling   

  1. The Meteorological Research Institute of the Air Force, P. L. A., Beijing 100085
  • Received:1997-02-16 Revised:1997-04-25 Online:1997-12-25 Published:1997-12-25

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.

Key words: satellite cloud picture, automatic classification, algorithm

CLC Number: