An Approach on Automatic Tracking and Predicting of Satellite Cloud Clusters Based on Active Contour
The tracking and forecasting of satellite cloud images are very important in term of satellite cloud images used in weather forecast. An approach on automatic tracking of multi-target cloud cluster based on VFC Snake model is proposed on the basis of contour extraction and analysis of cloud cluster, this method can automatically acquire the new location of the target cloud cluster at each moment. A specialized detection algorithm is designed to correct the Snake's tracking results, and more accurate contour curves are obtained. For the forecasting of cloud images, the target cloud cluster's displacement obtained in the tracking process is integrated into the cross-correlation matching to improve the matching accuracy of the cross-correlation method, and more accurate cloud motion vectors are obtained.