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Article Dans Une Revue IEEE Transactions on Geoscience and Remote Sensing Année : 2007

Polarimetric and interferometric SAR image partition into statistically homogeneous regions based on the minimization of the stochastic complexity

Résumé

We show in this paper that PolInSAR images can be efficiently partitioned into homogeneous regions with a statistical technique based on the minimization of a criterion without parameter to be tuned by the user. This technique consists in finding a polygonal partition of the image that minimizes the stochastic complexity assuming that the image is made of a tessellation of statistically homogeneous regions. The obtained results demonstrate that global partition in statistically homogeneous regions of PolInSAR images can provide better results than partition based on a single characteristic such as polarimetry or interferometry only. In particular, it enables us to obtain a good estimate of the PolInSAR covariance matrices for parameter extraction.
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Dates et versions

hal-00165717 , version 1 (27-07-2007)

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  • HAL Id : hal-00165717 , version 1

Citer

Jérôme Morio, François Goudail, Xavier Dupuis, Pascale Dubois-Fernandez, Philippe Réfrégier. Polarimetric and interferometric SAR image partition into statistically homogeneous regions based on the minimization of the stochastic complexity. IEEE Transactions on Geoscience and Remote Sensing, 2007, 46 (8), pp.3599-3609. ⟨hal-00165717⟩
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