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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
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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
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Image Restoration for Remote Sensing: Overview and toolbox
Behnood Rasti
,
Yi Chang
,
Emanuele Dalsasso
,
Loic Denis
,
Pedram Ghamisi
Journal articles
ujm-03842768v1
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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
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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
Journal articles
hal-02944565v1
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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
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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
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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
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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
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MERLIN-Seg: self-supervised despeckling for label-efficient semantic segmentation
Emanuele Dalsasso
,
Clément Rambour
,
Nicolas Trouvé
,
Nicolas Thome
2023
Preprints, Working Papers, ...
hal-04163624v1
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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
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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
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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
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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
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Leveraging Vision-Language Foundation Models for Fine-Grained Downstream Tasks
Denis Coquenet
,
Clément Rambour
,
Emanuele Dalsasso
,
Nicolas Thome
2023
Preprints, Working Papers, ...
hal-04162923v1
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SAR2SAR: a semi-supervised despeckling algorithm for SAR images
Emanuele Dalsasso
,
Loïc Denis
,
Florence Tupin
Journal articles
hal-03148450v1
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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
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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
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