Application of Gaussian multi-scale representation to feature tracking in meteorological satellite imagery

Hernandez-Carrascal, A. and Nasuto, S. J. ORCID: https://orcid.org/0000-0001-9414-9049 (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.

Abstract/Summary

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.