Extraction of velocity fields for geophysical fluids from a sequence of images

Author

Auroux, Didier

Author_Institution

Inst. de Mathamatiques de Toulouse, Univ. Paul Sabatier Toulouse 3, Toulouse

fYear

2009

fDate

19-24 April 2009

Firstpage

961

Lastpage

964

Abstract

We consider the assimilation of satellite images, within the framework of data assimilation in geophysical systems. Based on the constant brightness assumption, we define a nonlinear functional measuring the difference between two consecutive images, the first one being transported to the second one by the unknown velocity. By considering a multi-scale approach and a Gauss-Newton minimization algorithm, we can estimate the entire velocity fields at a high frame rate and then assimilate these pseudo-observations.

Keywords

Gaussian processes; Newton method; geophysical signal processing; image sequences; minimisation; Gauss-Newton minimization algorithm; data assimilation; geophysical fluids; geophysical systems; image sequence; nonlinear functional; satellite images; velocity field extraction; Brightness; Data assimilation; Data mining; Geophysical measurements; Least squares methods; Minimization methods; Newton method; Recursive estimation; Satellites; Velocity measurement; Velocity estimation; constant brightness assumption; multiscale algorithm; nonlinear minimization; variational approach;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on

Conference_Location

Taipei

ISSN

1520-6149

Print_ISBN

978-1-4244-2353-8

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2009.4959745

Filename

4959745