Dense Motion Estimation from Eye-Safe Aerosol Lidar Data

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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Communication dans un congrès
25th International Lidar Radar Conference, Jul 2010, Saint-Petersbourg, Russia. 2010
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Pierre Dérian, Patrick Héas, Etienne Memin, Shane Mayor. Dense Motion Estimation from Eye-Safe Aerosol Lidar Data. 25th International Lidar Radar Conference, Jul 2010, Saint-Petersbourg, Russia. 2010. 〈inria-00591528〉

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