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Communication Dans Un Congrès Année : 2007

Application of information theory measures to polarimetric and interferometric SAR images

Résumé

In this paper, we analyze information theory measures in polarimetric interferometric SAR images (PolInSAR) that follow 6-dimensionalGaussian probability density function (PDF). The Shannon entropy is on PolInSAR images the sum of 3 contributions : intensity, polarimetry and interferometry. It enables to determine polarimetric and interferometric intraclass properties of different regions of an image. We then consider the Bhattacharyya distance, a contrast measure between neighbour regions, and show that it is the sum of three contrast terms of intensity, polarimetry and interferometry.
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Dates et versions

hal-00165727 , version 1 (27-07-2007)

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  • HAL Id : hal-00165727 , version 1

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Jérôme Morio, Philippe Réfrégier, François Goudail, Pascale Dubois-Fernandez, Xavier Dupuis. Application of information theory measures to polarimetric and interferometric SAR images. PSIP 2007, Feb 2007, Mulhouse, France. ⟨hal-00165727⟩
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