Abstract:

According to the cloud classfication problem, we put forward a new cloud classification method. Firstly, we established a sample database of multiple clouds and surface types by using realtime cloud image data of FY2 geostationary meteorological satellite, and extracted the spectral features and texture features of known samples. After pretreating the cloud image by median filter, we clustered on the cloud area by using an algorithm based on density clustering algorithm with noise. Finally, we matched spectral features and texture features of the cloud, and determined the type of cloud. The experiment
shows that the method, with clouds as the unit, is easy to realize automation of cloud classification.

Key words: cloud classification, spectral feature, texture feature, satellite cloud image