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Title: Cloud tracking in satellite images using a snake model
Authors: Guilbert, E
Yang, Y
Lin, H
Keywords: Clouds
Satellite imaging
Issue Date: 2005
Publisher: SPIE-International Society for Optical Engineering
Source: Proceedings of SPIE : the International Society for Optical Engineering, 2005, v. 6044, 604404 How to cite?
Journal: Proceedings of SPIE : the International Society for Optical Engineering 
Abstract: The study of mesoscale convective clouds is an important issue in weather analysis. As a consequence, several methods have been introduced for cloud tracking on satellite images. Two kinds of methods are commonly used, based on shape matching and motion tracking. In this paper, a new motion tracking method based on a snake model is introduced. Snakes are known to be more efficient than level sets however they do not handle topological changes. Therefore, the hereafter method considers the cloud tracking problem in two parts. First, the snake model used for motion tracking is presented. Techniques are given to ensure the robustness of the method for the tracking of high deformable objects. Secondly, the problem of topological transformation is addressed. Split and merging are characterised and performed by applying geometrical criteria and methods. The method is applied to real cases data and some results are presented and discussed.
Description: MIPPR 2005: Image Analysis Techniques, Vol. 6044, Wuhan, 31 October - 2 November 2005
ISSN: 0277-786X
EISSN: 1996-756X
DOI: 10.1117/12.652284
Appears in Collections:Conference Paper

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