Abstract:

The satellite cloud images are important materials in the remote sensing measurement of the earth’s atmosphere. Cloud identification, tracking and prediction need segmentation and edge extracted operator on satellite cloud images. In this paper, we improve the fuzzy Cmeans (FCM) algorithm for cloud image segmentation. The experimental result demonstrates that the improved algorithm features efficiency and accuracy. In the experiment, we employ the RGB multichannel satellite cloud images in June 2011, cluster the cloud image on the layering of image, and extract multichannel clustering intersection areas, etc. The result achieves the fast and accurate segmentation to satellite cloud images.

Key words: satellite cloud images;multichannel;FCM;segmentation