Enhanced Dictionary-Based SAR Amplitude Distribution Estimation and its Validation with Very High Resolution Data - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue IEEE Geoscience and Remote Sensing Letters Année : 2011

Enhanced Dictionary-Based SAR Amplitude Distribution Estimation and its Validation with Very High Resolution Data

Résumé

In this letter, we address the problem of estimating the amplitude probability density function (pdf) of single-channel synthetic aperture radar (SAR) images. A novel flexible method is developed to solve this problem, extending the recently proposed dictionary-based stochastic expectation maximization approach (developed for a medium-resolution SAR) to very high resolution (VHR) satellite imagery, and enhanced by introduction of a novel procedure for estimating the number of mixture components, that permits to reduce appreciably its computational complexity. The specific interest is the estimation of heterogeneous statistics, and the developed method is validated in the case of the VHR SAR imagery, acquired by the last-generation satellite SAR systems, TerraSAR-X and COSMO-SkyMed. This VHR imagery allows the appreciation of various ground materials resulting in highly mixed distributions, thus posing a difficult estimation problem that has not been addressed so far. We also conduct an experimental study of the extended dictionary of state-of-the-art SAR-specific pdf models and consider the dictionary refinements.
Fichier principal
Vignette du fichier
krylovGRSL2011.pdf (463.5 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00503893 , version 1 (03-02-2011)

Identifiants

Citer

Vladimir Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia. Enhanced Dictionary-Based SAR Amplitude Distribution Estimation and its Validation with Very High Resolution Data. IEEE Geoscience and Remote Sensing Letters, 2011, 8 (1), pp.148-152. ⟨10.1109/LGRS.2010.2053517⟩. ⟨inria-00503893⟩
195 Consultations
374 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More