World's Best Scientists 2026 revealed!
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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
57
Citations
13497
World Ranking
3823
National Ranking
73

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award
  • 2020 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to stochastic image modeling for classification, segmentation, and object detection in remote sensing
  • 2003 - IEEE Fellow For contributions to Markovian models in image processing and remote sensing.

Overview

Josiane Zerubia is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research primarily focuses on engineering and computer science fields, with particular attention to media technology and computer vision and pattern recognition.

The scientist's work covers a range of subfields including environmental engineering, aerospace engineering, and artificial intelligence. The main topics of Josiane Zerubia's research include:

  • Remote-Sensing Image Classification
  • Advanced Image Fusion Techniques
  • Remote Sensing and LiDAR Applications
  • Automated Road and Building Extraction
  • Image Retrieval and Classification Techniques
  • Advanced Image and Video Retrieval Techniques
  • Advanced Neural Network Applications

Josiane Zerubia has published extensively in venues such as:

  • IEEE Transactions on Geoscience and Remote Sensing
  • Remote Sensing
  • Frontiers in Signal Processing
  • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • CINECA IRIS Institutional Research Information System (University of Genoa)

Recent publications include:

  • "Semantic Segmentation of Remote-Sensing Images Through Fully Convolutional Neural Networks and Hierarchical Probabilistic Graphical Models," 2022, IEEE Transactions on Geoscience and Remote Sensing
  • "Multisensor and Multiresolution Remote Sensing Image Classification through a Causal Hierarchical Markov Framework and Decision Tree Ensembles," 2021, Remote Sensing
  • "CRFNet: A Deep Convolutional Network to Learn the Potentials of a CRF for the Semantic Segmentation of Remote Sensing Images," 2024, IEEE Transactions on Geoscience and Remote Sensing
  • "Small Object Detection and Tracking in Satellite Videos With Motion Informed-CNN and GM-PHD Filter," 2022, Frontiers in Signal Processing
  • "GENERATIVE ADVERSARIAL NETWORKS AS A NOVEL APPROACH FOR TECTONIC FAULT AND FRACTURE EXTRACTION IN HIGH-RESOLUTION SATELLITE AND AIRBORNE OPTICAL IMAGES," 2020, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

Frequent collaborators in their research include:

  • Gabriele Moser
  • Sebastiano B. Serpico
  • Martina Pastorino
  • Ihsen Hedhli
  • Mathias Ortner

Josiane Zerubia has been recognized with several awards, including the IEEE Fellow distinction in 2003 for contributions to Markovian models in image processing and remote sensing. In 2020, they were named a Fellow of the International Association for Pattern Recognition (IAPR) for contributions to stochastic image modeling for classification, segmentation, and object detection in remote sensing.

Best Publications

  • Extension of phase correlation to subpixel registration

    H. Foroosh;J.B. Zerubia;M. Berthod

  • Analyse d'images: filtrage et segmentation

    Philippe Bolon;Jean-Marc Chassery;Jean-Pierre Cocquerez;Didier Demigny

  • Gaussian approximations of fluorescence microscope point-spread function models.

    Bo Zhang;Josiane Zerubia;Jean-Christophe Olivo-Marin

  • Richardson-Lucy algorithm with total variation regularization for 3D confocal microscope deconvolution.

    Nicolas Dey;Laure Blanc-Feraud;Christophe Zimmer;Pascal Roux

  • Modeling SAR images with a generalization of the Rayleigh distribution

    E.E. Kuruoglu;J. Zerubia

  • A Level Set Model for Image Classification

    Christophe Samson;Laure Blanc-Féraud;Gilles Aubert;Josiane Zerubia

  • A Gibbs Point Process for Road Extraction from Remotely Sensed Images

    Radu Stoica;Xavier Descombes;Josiane Zerubia

  • A variational model for image classification and restoration

    C. Samson;L. Blanc-Feraud;G. Aubert;J. Zerubia

  • SAR image filtering based on the heavy-tailed Rayleigh model

    A. Achim;E.E. Kuruoglu;J. Zerubia

  • Bayesian image classification using Markov random fields

    Marc Berthod;Zoltan Kato;Shan Yu;Josiane Zerubia

  • New prospects in line detection by dynamic programming

    N. Merlet;J. Zerubia

  • Point processes for unsupervised line network extraction in remote sensing

    C. Lacoste;X. Descombes;J. Zerubia

  • Structural Approach for Building Reconstruction from a Single DSM

    F. Lafarge;X. Descombes;J. Zerubia;M. Pierrot-Deseilligny

  • SAR amplitude probability density function estimation based on a generalized Gaussian model

    G. Moser;J. Zerubia;S.B. Serpico

  • Building Development Monitoring in Multitemporal Remotely Sensed Image Pairs with Stochastic Birth-Death Dynamics

    C. Benedek;X. Descombes;J. Zerubia

  • Higher Order Active Contours

    Marie Rochery;Ian H. Jermyn;Josiane Zerubia

  • Estimation of Markov random field prior parameters using Markov chain Monte Carlo maximum likelihood

    X. Descombes;R.D. Morris;J. Zerubia;M. Berthod

  • Texture feature analysis using a gauss-Markov model in hyperspectral image classification

    G. Rellier;X. Descombes;F. Falzon;J. Zerubia

  • Automatic Building Extraction from DEMs using an Object Approach and Application to the 3D-city Modeling

    Florent Lafarge;Xavier Descombes;Josiane Zerubia;Marc Pierrot-Deseilligny

  • A generalized sampling theory without band-limiting constraints

    M. Unser;J. Zerubia

  • Building Outline Extraction from Digital Elevation Models Using Marked Point Processes

    Mathias Ortner;Xavier Descombes;Josiane Zerubia

  • SAR Image Filtering Based on the Heavy-Tailed

    Alin Achim;Ercan E. Kuruoglu;Josiane Zerubia

Frequent Co-Authors

Xavier Descombes
Xavier Descombes French Institute for Research in Computer Science and Automation - INRIA
Gabriele Moser
Gabriele Moser University of Genoa
Sebastiano B. Serpico
Sebastiano B. Serpico University of Genoa
Yuliya Tarabalka
Yuliya Tarabalka French Institute for Research in Computer Science and Automation - INRIA
Gilles Aubert
Gilles Aubert Université Côte d'Azur
Gilbert Engler
Gilbert Engler INRAE : Institut national de recherche pour l'agriculture, l'alimentation et l'environnement
Michael Unser
Michael Unser École Polytechnique Fédérale de Lausanne
William J. Emery
William J. Emery University of Colorado Boulder
Jon Atli Benediktsson
Jon Atli Benediktsson University of Iceland
Claude Samson
Claude Samson French Institute for Research in Computer Science and Automation - INRIA

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