Application of Gaussian multi-scale representation to feature tracking in meteorological satellite imagery
Hernandez-Carrascal, A. and Nasuto, S. J. (2010) Application of Gaussian multi-scale representation to feature tracking in meteorological satellite imagery. In: 2010 EUMETSAT Meteorological Satellite Conference, 20-24 Sept 2010, Cordoba, Spain.
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Gaussian multi-scale representation is a mathematical framework that allows to analyse images at different scales in a consistent manner, and to handle derivatives in a way deeply connected to scale. This paper uses Gaussian multi-scale representation to investigate several aspects of the derivation of atmospheric motion vectors (AMVs) from water vapour imagery. The contribution of different spatial frequencies to the tracking is studied, for a range of tracer sizes, and a number of tracer selection methods are presented and compared, using WV 6.2 images from the geostationary satellite MSG-2.
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