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Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning

Emanuele Dalsasso , Inès Meraoumia , Loïc Denis , Florence Tupin
IGARSS 2021, Jul 2021, Bruxelles (virtual), Belgium
Conference papers hal-03129020v1
Image document

Débruitage multi-modal d'images radar à synthèse d'ouverture par apprentissage profond auto-supervisé

Victor Gaya , Emanuele Dalsasso , Loïc Denis , Florence Tupin , Béatrice Pinel-Puysségur , et al.
GRETSI, Aug 2023, Grenoble, France
Conference papers hal-04144686v1

Image Restoration for Remote Sensing: Overview and toolbox

Behnood Rasti , Yi Chang , Emanuele Dalsasso , Loic Denis , Pedram Ghamisi
IEEE geoscience and remote sensing magazine, 2022, 10 (2), pp.201-230. ⟨10.1109/MGRS.2021.3121761⟩
Journal articles ujm-03842768v1
Image document

Self-supervised training strategies for SAR image despeckling with deep neural networks

Emanuele Dalsasso , Loïc Denis , Max Muzeau , Florence Tupin
14th European Conference on Synthetic Aperture Radar (EUSAR), Jul 2022, Leipzig, Germany
Conference papers hal-03589245v2

SAR Image Despeckling by Deep Neural Networks: from a Pre-Trained Model to an End-to-End Training Strategy

Emanuele Dalsasso , Xiangli Yang , Loïc Denis , Florence Tupin , Wen Yang
Remote Sensing, 2020, 12 (16), pp.2636. ⟨10.3390/rs12162636⟩
Journal articles hal-02944565v1
Image document

Apprentissage autosupervisé pour le despeckling d'images SAR avec MERLIN : application aux images Sentinel-1 Stripmap

Emanuele Dalsasso , Loïc Denis , Florence Tupin
GRETSI 2022 (Groupe de Recherche et d'Etudes de Traitement du Signal et des Images), Sep 2022, Nancy, France
Conference papers hal-03781619v1
Image document

Multi-temporal speckle reduction with self-supervised deep neural networks

Inès Meraoumia , Emanuele Dalsasso , Loïc Denis , Rémy Abergel , Florence Tupin
IEEE Transactions on Geoscience and Remote Sensing, 2023, 61
Journal articles hal-03907022v1
Image document

FAST STRATEGIES FOR MULTI-TEMPORAL SPECKLE REDUCTION OF SENTINEL-1 GRD IMAGES

Inès Meraoumia , Emanuele Dalsasso , Loïc Denis , Florence Tupin
IGARSS, 2022, Kuala Lumpur, Malaysia
Conference papers hal-03756068v1
Image document

A review of deep-learning techniques for SAR image restoration

Loïc Denis , Emanuele Dalsasso , Florence Tupin
IGARSS 2021, Jul 2021, Bruxelles (virtual), Belgium
Conference papers ujm-03123042v1
Image document

MERLIN-Seg: self-supervised despeckling for label-efficient semantic segmentation

Emanuele Dalsasso , Clément Rambour , Nicolas Trouvé , Nicolas Thome
2023
Preprints, Working Papers, ... hal-04163624v1
Image document

How to handle spatial correlations in SAR despeckling? Resampling strategies and deep learning approaches

Emanuele Dalsasso , Loïc Denis , Florence Tupin
EUSAR 2021: 13th European Conference on Synthetic Aperture Radar, Mar 2021, Leipzig (virtual), Germany. pp.1-6
Conference papers hal-02538046v2
Image document

Débruitage multi-temporel d'images radar à synthèse d'ouverture par apprentissage profond auto-supervisé

Inès Meraoumia , Emanuele Dalsasso , Loïc Denis , Florence Tupin
GRETSI 2022, Sep 2022, Nancy, France
Conference papers hal-03806566v1

Despeckling Sentinel-1 GRD images by deep learning and application to narrow river segmentation

Nicolas Gasnier , Emanuele Dalsasso , Loïc Denis , Florence Tupin
IGARSS 2021, Jul 2021, Bruxelles, Belgium
Conference papers hal-03129006v1
Image document

Deep learning for SAR imagery : from denoising to scene understanding

Emanuele Dalsasso
Artificial Intelligence [cs.AI]. Institut Polytechnique de Paris, 2022. English. ⟨NNT : 2022IPPAT008⟩
Theses tel-03666646v1

Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks

Denis Coquenet , Clément Rambour , Emanuele Dalsasso , Nicolas Thome
2023
Preprints, Working Papers, ... hal-04162923v1

SAR2SAR: a semi-supervised despeckling algorithm for SAR images

Emanuele Dalsasso , Loïc Denis , Florence Tupin
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, In press, pp.1-1. ⟨10.1109/JSTARS.2021.3071864⟩
Journal articles hal-03148450v1
Image document

As if by magic: self-supervised training of deep despeckling networks with MERLIN

Emanuele Dalsasso , Loïc Denis , Florence Tupin
IEEE Transactions on Geoscience and Remote Sensing, 2022, 60
Journal articles ujm-03270455v2
Image document

DESPECKLING OF DUAL-POL GRD SENTINEL-1 IMAGES IN EXTRA-WIDE MODE BY DEEP LEARNING

Inès Meraoumia , Ratha Debanshu , Emanuele Dalsasso , Loïc Denis , Florence Tupin , et al.
International Geoscience and Remote Sensing Symposium (IGARSS) 2023, Jul 2023, Pasadena (California), United States
Conference papers hal-04152906v1