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Pré-Publication, Document De Travail Année : 2019

Sparse analysis for mesoscale convective systems tracking

Résumé

In this paper, we study the tracking of de-formable shapes in sequences of images. Our target application is the tracking of clouds in satellite image. We propose to use a recent state-of-the-art method for off-the-grid sparse analysis to describe clouds in image as mixtures of 2D atoms. Then, we introduce an algorithm to handle the tracking with its specificities: apparition or disappearance of objects, merging, and splitting. This method provides similar numerical outputs as the recent state-of-the-art alternatives, while being more flexible, and providing additional information on, e.g., cloud surface brightness.
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Dates et versions

hal-02010436 , version 1 (07-02-2019)
hal-02010436 , version 2 (16-09-2020)

Identifiants

  • HAL Id : hal-02010436 , version 1

Citer

Jean-Baptiste Courbot, Vincent Duval, Bernard Legras. Sparse analysis for mesoscale convective systems tracking. 2019. ⟨hal-02010436v1⟩

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UNIV-PARIS-SACLAY
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