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| HAL : hal-00638876, version 1 |
| Fiche détaillée |  Récupérer au format |
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| XXIIIème colloque GRETSI (GRETSI 2011), Bordeaux : France (2011) |
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| Modèles statistiques complexes dans le contexte de l'imagerie SAR polarimétrique |
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| Felix Totir 1, 2Gabriel Vasile 1 |
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| (2011) |
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| Polarimetry extends the dimensionality of SAR data (to 3 or 4), so the necessity to have multivariate statistic (and non-Gaussian, because of the high resolution) distributions as models for PolSAR data: such are the SIRV (Spherically Invariant Random Vectors). However, as the statistic model becomes so complicated, correctly estimating its parameters gets difficult. More, although they are versatile, the SIRV models are not guaranteed to match the PolSAR data. To evaluate the pertinence of those models with respect to the PolSAR data, through one of their most important statistic property, namely the circularity, it is the purpose of this paper. |
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| 1 : | Grenoble Images Parole Signal Automatique (GIPSA-lab) |
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CNRS : UMR5216 – Université Joseph Fourier - Grenoble I – Université Pierre-Mendès-France - Grenoble II – Université Stendhal - Grenoble III – Institut Polytechnique de Grenoble - Grenoble Institute of Technology |
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| 2 : | ASRC |
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Advanced Studies and Research Center |
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| Domaine | : | Sciences de l'ingénieur/Traitement du signal et de l'image Informatique/Traitement du signal et de l'image |
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| Liste des fichiers attachés à ce document : | |||||
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| hal-00638876, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00638876 | |
| oai:hal.archives-ouvertes.fr:hal-00638876 | |
| Contributeur : Gabriel Vasile | |
| Soumis le : Lundi 7 Novembre 2011, 15:20:25 | |
| Dernière modification le : Vendredi 18 Novembre 2011, 11:11:32 | |
