Kenji Osé

Joint Research Centre — Italy

Engineering · Physical Sciences

12h-index1.2kcitations55works1.02yr avg
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Research Topics

Remote-Sensing Image Classification(13), Remote Sensing in Agriculture(10), Remote Sensing and LiDAR Applications(8), Land Use and Ecosystem Services(6), Agriculture and Rural Development Research(6)

Publications55 total

RT-Simulator: An Online Platform to Simulate Canopy Reflectance from Biochemical and Structural Plant Properties Using Radiative Transfer Models
2024· 1 cited
Expertise collective CRREF « Coupes Rases et REnouvellement des peuplements Forestiers en contexte de changement climatique »: Synthèse de l'expertise
HAL (Le Centre pour la Communication Scientifique Directe)·2023Open Access
Question 1. Comment définir la coupe rase en forêt ?
SPIRE - Sciences Po Institutional REpository·2023Open Access
Coupes rases en forêt : comment les définir ?
HAL (Le Centre pour la Communication Scientifique Directe)·2023
Combine Histogram Matching and Domain Adaptation to Cope with Temporal Transfer Learning for the Semantic Segmentation of VHR Images
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium·2022
Products and services of the URBAN THEIA Scientific Expertise Centre
HAL (Le Centre pour la Communication Scientifique Directe)·2022· 1 citedOpen Access
Assessment of Urban Land-Cover Classification: Comparison Between Pixel and Object Scales
2021· 2 cited
Évaluation des impacts d’une infrastructure de données satellitaires
Revue d’Économie Régionale & Urbaine·2021Open Access
Évaluation des impacts d’une infrastructure de données satellitaires
Cairn.info·2021
Application of the Symbolic Machine Learning to Copernicus VHR Imagery: The European Settlement Map
IEEE Geoscience and Remote Sensing Letters·2019· 12 citedOpen Access
Optical image gap filling using deep convolutional autoencoder from optical and radar images
HAL (Le Centre pour la Communication Scientifique Directe)·2019
Clear-cuts detection services for the monitoring needs of the french Ministry of agriculture
HAL (Le Centre pour la Communication Scientifique Directe)·2019
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for Object-Based Land Cover Classification
2019· 3 citedOpen Access
Clear-Cuts Detection Services for The Monitoring Needs of the French Ministry of Agriculture
2019· 1 cited
Optical image gap filling using deep convolutional autoencoder from optical and radar images
2019· 18 cited
Towards combining Satellite Imagery and VGI for Urban LULC classification
2019· 1 cited
DuPLO: A DUal view Point deep Learning architecture for time series classificatiOn
ISPRS Journal of Photogrammetry and Remote Sensing·2019· 173 citedOpen Access
Détection automatique de coupes rases
Forêt entreprise·2019
Combining Sentinel-1 and Sentinel-2 Time Series via RNN for object-based\n land cover classification
arXiv (Cornell University)·2018· 23 citedOpen Access
$M^3\text{Fusion}$: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing·2018· 106 citedOpen Access
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Frequent Co-authors

Dino Ienco(15), Raffaele Gaetano(11), Rémi Cresson(9), Dinh Ho Tong Minh(5), Roberto Interdonato(4), Stéphane Dupuy(4), Nicolas Baghdadi(4), Mehrez Zribi(4), Laurent Demagistri(4), Philippe Deuffic(4), Jean-Marie Fotsing(4), Frédéric Simard(3), Diégo Ayala(3), Didier Fontenille(3), Carlo Costantini(3), Jean‐Stéphane Bailly(3), Thomas Corpetti(3), Guy Landmann(3), Marion Gosselin(3), Jérôme Ogée(3)