Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test

Vladimir Krylov 1 Gabriele Moser 2 Aurélie Voisin 1 Sebastiano Serpico 2 Josiane Zerubia 1
1 AYIN - Models of spatio-temporal structure for high-resolution image processing
CRISAM - Inria Sophia Antipolis - Méditerranée
2 DIBE - Department of Biophysical and Electronic Engineering [Genoa]
Abstract : This paper considers change detection with multitemporal synthetic aperture radar (SAR) images. A novel statistical approach is developed that formulates the detection of changes between two coregistered SAR images acquired at different dates as a non-parametric local-window hypothesis testing problem. This approach takes into account the simultaneous testing of a large amount of similar hypotheses (i.e., one Wilcoxon test at each pixel of the image), and is based on a likelihood ratio test to obtain a detection map at the pixel level. Some encouraging detection results are obtained on XSAR and very high resolution COSMO-SkyMed images.
Type de document :
Communication dans un congrès
IEEE International Conference on Image Processing 2012, Sep 2012, Orlando, United States. 2012
Liste complète des métadonnées

Littérature citée [8 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/hal-00724284
Contributeur : Vladimir Krylov <>
Soumis le : lundi 20 août 2012 - 15:04:28
Dernière modification le : samedi 27 janvier 2018 - 01:31:38
Document(s) archivé(s) le : mercredi 21 novembre 2012 - 02:25:20

Fichier

krylovICIP2012.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-00724284, version 1

Collections

INRIA

Citation

Vladimir Krylov, Gabriele Moser, Aurélie Voisin, Sebastiano Serpico, Josiane Zerubia. Change detection with synthetic aperture radar images by Wilcoxon statistic likelihood ratio test. IEEE International Conference on Image Processing 2012, Sep 2012, Orlando, United States. 2012. 〈hal-00724284〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

268

Téléchargements de fichiers

715

Contact


archive-ouverte@inria.fr