Multifractal Segmentation of Remotely Sensed Images

Abstract : Remotely sensed images are typically highly textured. In this work, segmentation of such images is performed based on local/global regularity criteria within the frame of multifractal analysis. Numerical experiments show that such an approach indeed yields meaningful results.
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Autre publication
In Fractals in Geoscience and Remote Sensing, Office for Official Publications of the European Co.. 1994
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https://hal.inria.fr/inria-00613972
Contributeur : Lisandro Fermin <>
Soumis le : lundi 8 août 2011 - 12:35:45
Dernière modification le : vendredi 25 mai 2018 - 12:02:05

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  • HAL Id : inria-00613972, version 1

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Jacques Lévy Véhel. Multifractal Segmentation of Remotely Sensed Images. In Fractals in Geoscience and Remote Sensing, Office for Official Publications of the European Co.. 1994. 〈inria-00613972〉

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