Application of Gaussian multi-scale representation to feature tracking in meteorological satellite imageryHernandez-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. Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. Official URL: http://www.eumetsat.int/Home/Main/AboutEUMETSAT/Pu... Abstract/SummaryGaussian 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.
Deposit Details University Staff: Request a correction | Centaur Editors: Update this record |
Lists
Lists
