Équipe de recherche :Research Team:
Image, Modélisation, Analyse, GEométrie, Synthèse (IMAGES)Image, Modeling, Analysis, GEometry, Synthesis (IMAGES)
Laboratoire :Laboratory:
Laboratoire Traitement et Communication de l'Information (LTCI)Information Processing and Communication Laboratory (LTCI)
Département :Department:
Image, Données, Signal (IDS)Image, Data, Signal (IDS)
Florence Tupin received the engineering degree and the Ph.D. degree in signal and image processing from Ecole Nationale Superieure des Telecommunications (ENST), Paris, France, in 1994 and 1997, respectively, and the Habilitation a Diriger des Recherches degree from the University of Rennes, France, in 2007. From 1997 to 1998, she was with SAGEM, Paris, France, where she worked on fingerprint recognition. She is currently a Professor of image and signal processing with LTCI, Telecom Paris, Paris, France.
She is currently a Professor of image and signal processing with LTCI, Telecom Paris, Palaiseau, France, where she is also the Head of the Image, Data, and Signal Department.
She has co-authored more than 200 articles. Her research interests include image processing and analysis, especially for remote sensing and synthetic aperture radar imaging applications, and Earth observation.
She has been a member of several international and national technical conference committees since 2003. She is co-chair of the Technical Program Committee of GRETSI since 2024 and IEEE GRSS Distinguished Lecturer since 2025. She was a recipient of several awards, among them the IEEE GRSS Transactions Prize Paper Award in 2016 and the IEEE GRSS Symposium Prize Paper Award in 2022 for works on speckle filtering.

Florence Tupin distinguished by IEEE Geoscience and Remote Sensing Society
Enseignants-chercheurs, Modélisation — 27/03/2025She develops innovative image processing and analysis methods, with recognised expertise [...]
Florence Tupin distinguée par l'IEEE Geoscience and Remote Sensing Society
Enseignants-chercheurs, Modélisation — 24/03/2025Elle développe des méthodes innovantes de traitement et d’analyse d’images, avec [...]
“Denoising” radar satellite images with AI (IP Paris)
Data science & IA, Enseignants-chercheurs — 07/02/2025Florence Tupin uses deep learning to obtain images cleared from the fluctuations inherent in [...]
L'IA chasse le « bruit » des images des satellites radar
Data science & IA, Enseignants-chercheurs — 05/02/2025Florence Tupin a recours à l’apprentissage profond pour obtenir des images débarrassées des [...]
"Top 2%": our faculty members among them
Enseignants-chercheurs — 26/09/2024This ranking of excellence drawn up by Stanford features more than 210,000 researchers out of more than 8 million active scientists [...]
«Top 2%» : nos enseignants-chercheurs en font partie
Enseignants-chercheurs — 24/09/2024Ce classement établi par Stanford présente 210000 chercheurs, soit 2,5% des 8 M de scientifiques actifs dans le [...]
Des collégiennes et lycéennes en visite !
Ingénieurs, Diversité & RSE, Enseignants-chercheurs — 03/05/2024... pour une journée de découverte scientifique. Des ateliers interactifs de médiation [...]
La lettre Ideas : IA et ressources en eau, Bilan carbone, Impact carbone
— 28/03/2024
[Ideas] Comment l’IA peut-elle contribuer à mieux gérer nos ressources en eau ?
Data science & IA, Enseignants-chercheurs — 27/03/2024Florence Tupin : Le traitement des images par IA peut améliorer la [...]
La lettre du LTCI (2023 #3)
Doctorat, Enseignants-chercheurs — 13/10/2023Florence Tupin nouvelle responsable du dépt. IDS, Cyberattaques, Lasers quantiques, 5+G, YAGO, Impact carbone, ELEVATE Center, [...]
La lettre du LTCI (2022 #3)
— 06/10/2022Ubiquitous Networks: Excellent Paper Award. Deux distinctions d'articles pour l'équipe IMAGES. ANR Jeune chercheur. Prix Science ouverte. Et aussi : actualités [...]
Deux distinctions pour l'équipe IMAGES : EUSAR et IGARSS
Design interaction perception — 29/07/2022Les articles Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by [...]
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