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Optical Flow and Phase Portrait Methods for Environmental Satellite Image Sequences

Abstract : We present in this paper a motion computation and interpretation framework for oceanographic satellite images. This framework is based on the use of a non quadratic regularization technique in optical flow computation that preserves flow discontinuities. We also show that using an appropriate tessellation of the image according to an estimate of the motion field can improve optical flow accuracy and yields more reliable flows. This method defines a non uniform multiresolution scheme that refines mesh resolution only in the neighborhood of moving structures. The second part of the paper deals with the interpretation of the obtained displacement field. We use a phase portrait model with a new formulation of the approximation of an oriented flow field. This allows us to consider arbitrary polynomial phase portrait models for characterizing salient flow features. This new framework is used for processing oceanographic and atmospheric image sequences and presents an alternative to the very complex physical modelling techniques.
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Submitted on : Wednesday, April 20, 2016 - 2:20:27 PM
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Isaac Cohen, Isabelle Herlin. Optical Flow and Phase Portrait Methods for Environmental Satellite Image Sequences. Proceedings of European Conference on Computer Vision (ECCV), Apr 1996, Cambridge, United Kingdom. pp.141-150, ⟨10.1007/3-540-61123-1_134⟩. ⟨inria-00626437⟩



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