期刊名称：International Journal of Hybrid Information Technology
印刷版ISSN：1738-9968
出版年度：2012
卷号：5
期号：2
出版社：SERSC
摘要：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. The experimental results show that the tracking based on contour detection and analysis is fast and highly accurate, and the evolution process of cloud cluster can be directly obtained in a period of time (eg , split, merge, die and newborn), preferable results has also been made in forecasting .
关键词：active contour; satellite cloud images; tracking and forecasting
