Vortex segmentation on satellite oceanographic images

Abstract : Sea temperature images coming from infrared sensors (AVHRR) allow the visualization of oceanographic activity at meso-scale (100 km), such as temperature fronts, vortices, ... These phenomena are, by their very nature, deformable, and deserve specific studies. We focused our study on the segmentation of vortices. We present three different methods to do this, using hybrid hyperquadric functions, Markovian framework, and geometrical modelization.
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Communication dans un congrès
Proceedings of SPIE, Sep 1994, Roma, Italy. 2315, pp.635-645, 1994, Image and Signal Processing for Remote Sensing. 〈10.1117/12.196764〉
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https://hal.inria.fr/inria-00532666
Contributeur : Brigitte Briot <>
Soumis le : jeudi 4 novembre 2010 - 13:26:52
Dernière modification le : jeudi 21 avril 2016 - 01:04:29

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Jean-Paul Berroir, Sonia Bouzidi, Isabelle Herlin, Isaac Cohen. Vortex segmentation on satellite oceanographic images. Proceedings of SPIE, Sep 1994, Roma, Italy. 2315, pp.635-645, 1994, Image and Signal Processing for Remote Sensing. 〈10.1117/12.196764〉. 〈inria-00532666〉

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