Title :
Extraction of velocity fields for geophysical fluids from a sequence of images
Author_Institution :
Inst. de Mathamatiques de Toulouse, Univ. Paul Sabatier Toulouse 3, Toulouse
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;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2009.4959745
