ABERGEL, Rémy; DENIS, Loïc; TUPIN, Florence; LADJAL, Saïd; DELEDALLE, Charles-Alban; ALMANSA, Andrés

doi:10.1109/IGARSS.2019.8900036

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ABERGEL, Rémy
Mathématiques Appliquées Paris 5 [MAP5 - UMR 8145]

DENIS, Loïc
Laboratoire Hubert Curien [LabHC]

TUPIN, Florence
Image, Modélisation, Analyse, GEométrie, Synthèse [IMAGES]
Département Images, Données, Signal [IDS]

Langue

Communication dans un congrès

Ce document a été publié dans

2019 IEEE International Geoscience and Remote Sensing Symposium, 2019-07-28, Yokohama.

Résumé en anglais

Speckle reduction is a necessary step for many applications. Very effective methods have been developed in the recent years for single-image speckle reduction and multi-temporal speckle filtering. However , to reduce the presence of sidelobes around bright targets, SAR images are spectrally weighted and this processing impacts the speckle statistics by introducing spatial correlations. These correlations severely impact speckle reduction methods that require uncor-related speckle as input. Thus, spatial down-sampling is typically applied to reduce the speckle spatial correlations prior to speckle filtering. To better preserve the spatial resolution, we describe how to correctly resample SAR images and extract bright targets in order to process full-resolution images with speckle-reduction methods.< Réduire

Mots clés en anglais

Sentinel-1

deramping

sub-pixel target detection

sidelobe reduction

despeckling

URI

https://oskar-bordeaux.fr/handle/20.500.12278/192851

DOI

http://dx.doi.org/10.1109/IGARSS.2019.8900036

Project ANR

Restauration Multi-Images: des Mathématiques Appliqueés à l'Industrie de l'Imagerie. - ANR-14-CE27-0019

Origine

Importé de hal

Unités de recherche

Institut de Mathématiques de Bordeaux (IMB) - UMR 5251