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Dense Motion Estimation from Eye-Safe Aerosol Lidar Data

Pierre Dérian 1, * Patrick Héas 1 Etienne Mémin 1 Shane Mayor 2 
* Corresponding author
1 FLUMINANCE - Fluid Flow Analysis, Description and Control from Image Sequences
CEMAGREF - Centre national du machinisme agricole, du génie rural, des eaux et forêts, Inria Rennes – Bretagne Atlantique
Abstract : Results of the application of optical flow methods to eye-safe aerosol lidar images leading to dense velocity field estimations are presented. A fluid motion dedicated formulation is employed, taking into account the deforming shapes and changing brightness of flow visualization. The optical flow technique has the advantage of providing a vector at every pixel in the image, hence enabling access to improved multiscale properties. In order to assess the performances of the method, we compare vectors with punctual sonic anemometer measurements. Power spectra of the velocity data are also calculated to explore the spectral behavior of the technique.
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https://hal.inria.fr/inria-00591528
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Submitted on : Monday, May 9, 2011 - 3:10:44 PM
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Pierre Dérian, Patrick Héas, Etienne Mémin, Shane Mayor. Dense Motion Estimation from Eye-Safe Aerosol Lidar Data. 25th International Laser Radar Conference, Jul 2010, Saint-Petersbourg, Russia. ⟨inria-00591528⟩

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