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| HAL : hal-00520572, version 1 |
| Fiche détaillée |  Récupérer au format |
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| IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2010), Honolulu, hawaii : United States (2010) |
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| PolSAR images characterization through blind sources separation techniques |
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| Felix Totir 1, 2Gabriel Vasile 1 |
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| (2010) |
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| Since the backscattered signal in PolSAR images is intrinsically linked with the physical characteristics of the objects in the image, valuable information may be extracted therefrom. The paper focus is to propose a new physical characterization of the scattering target, inspired by the Blind Sources Separation techniques. |
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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 : | Military Technical Academy, (ATM) |
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Romanian Academy of Sciences |
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| Domaine | : | Informatique/Traitement du signal et de l'image Sciences de l'ingénieur/Traitement du signal et de l'image |
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| PolSAR – incoherent decomposition – ICA – PCA. |
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| Liste des fichiers attachés à ce document : | |||||
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| hal-00520572, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00520572 | |
| oai:hal.archives-ouvertes.fr:hal-00520572 | |
| Contributeur : Lionel Bombrun | |
| Soumis le : Jeudi 23 Septembre 2010, 16:23:29 | |
| Dernière modification le : Vendredi 29 Juillet 2011, 11:27:15 | |
