New hierarchical joint classification method of SAR-optical multiresolution remote sensing data

Abstract : In this paper, we develop a novel classification approach for multiresolution, multisensor (optical and synthetic aperture radar), and/or multiband images. Accurate and time-efficient classification methods are particularly important tools to support rapid and reliable assessment of the ground changes. Given the huge amount and variety of data available currently from last-generation satellite missions , the main difficulty is to develop a classifier that can take benefit of multiband, multiresolution, and multisen-sor input imagery. The proposed method addresses the problem of multisensor fusion of SAR with optical data for classification purposes, and allows input data collected at multiple resolutions and additional multiscale features derived through wavelets to be fused.
Type de document :
Communication dans un congrès
IEEE European Signal Processing Conference, Aug 2015, Nice, France. 2015
Liste complète des métadonnées

https://hal.inria.fr/hal-01161824
Contributeur : Ihsen Hedhli <>
Soumis le : mardi 9 juin 2015 - 11:39:45
Dernière modification le : jeudi 30 novembre 2017 - 09:22:46
Document(s) archivé(s) le : mardi 15 septembre 2015 - 13:27:46

Fichier

EUSIPCO_Final_08_06pdf.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01161824, version 1

Collections

Citation

Ihsen Hedhli, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia. New hierarchical joint classification method of SAR-optical multiresolution remote sensing data. IEEE European Signal Processing Conference, Aug 2015, Nice, France. 2015. 〈hal-01161824〉

Partager

Métriques

Consultations de la notice

204

Téléchargements de fichiers

161