Dense Motion Estimation from Eye-safe Aerosol Lidar Data

نویسندگان

  • Pierre Dérian
  • Patrick Héas
  • Étienne Mémin
  • Shane D. Mayor
چکیده

Results of the application of optical flow methods to eyesafe 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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تاریخ انتشار 2010