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Analyses multiéchelle et multifractale d'images météorologiques: Application à la détection de zones précipitantes

Abstract : We are interested with the
characterization, on meteorological
infrared images, of convective clouds responsible for hard weather situations
like rainfalls.
The study of the statistical and physical properties of atmospherical
phenomena
reveals a chaotic and turbulent behaviour, characterized by the scale
invariance of
some relevant quantities defined on the system.
In this context, we use multiscale image processing tools derived from
thermodynamical concepts that were initially introduced for turbulent
data analysis.
First, a multifractal model allows us to detect the strongest
transitions in the
signal and provides a hierarchical decomposition of the image. We show that
the exhibited geometrical structures are related with the
atmospherical mecanisms.
Then, we propose to extend the multifractal formalism to extract the
foci of diffusion
of the luminance in the image. We finally identify those foci in
infrared images
with convective areas associated with rainfalls.
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https://tel.archives-ouvertes.fr/tel-00005940
Contributor : Jacopo Grazzini <>
Submitted on : Wednesday, September 15, 2004 - 5:42:50 PM
Last modification on : Friday, May 25, 2018 - 12:02:05 PM
Long-term archiving on: : Monday, September 20, 2010 - 11:54:45 AM

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  • HAL Id : tel-00005940, version 2

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Citation

Jacopo Grazzini. Analyses multiéchelle et multifractale d'images météorologiques: Application à la détection de zones précipitantes. Interface homme-machine [cs.HC]. Université de Marne la Vallée, 2003. Français. ⟨tel-00005940v2⟩

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