Teaching

2024 - 2025

• Supervising the Master’s thesis of Michelangelo Mussini on plastic detection from optical satellites.
• Teaching assistant for the Master’s course Image Processing for Earth Observation (14h)
• Supervising the semester project of Samuel Darmon on uncertainty estimation of segmentation models of floating debris. The project investigates the sensitivity of the model to the spectral information.
• Co-supervising with Marc Russwurm the Master’s thesis of Gabriele Tijunaityte on siamese network for matching of floating material between PlanetScope and Sentinel-2 images acquire at a short time distance.

2023 - 2024

• Co-supervising the Master’s thesis of Manon Cécile Nicole Béchaz together with Devis Tuia and Marc Rußwurm. She is investigating the use of physical models and hybrid model for tracking buoys in the ocean from metereological data. Her project is a preliminary study for ADOPT’s project which will focus on the more challenging problem of tracking floating plastic litter.

• Teaching assistant for the EPFL Master’s course Sensing and spatial modeling for earth observation of the Environmental Sciences and Engineering program: Image matching and orientation (3h)

• IADF Summer School
  • Practical session on Synthetic Aperture Radar data processing (1,5h)

2022 - 2023

• TDMA Summer School
  • introductory course on Deep Learning (1,5h)
  • Practical session on Remote Sensing data processing (2h)
• “Remote Sensing Image Processing”, practical works (3h) and course (3h), M2 of Université Paris Cité

2019 - 2022

• InGARSS tutorial on Multitemporal Remote Sensing Data Analysis
• I supervised the Master’s internship of Max Muzeau
• I supervised the Master’s internship of Yi Zhang
• Remote Sensing Practical works (12h) and project supervision (26h)
  • Course syllabus
  • Jupyter Notebooks
• “OASIS” (Outils et Applications pour le Signal, les Images et le Son) practical works, to L3 students of Télécom Paris (60h)
• “Machine Learning for Image Processing”, practical works, L3 of Télécom Paris (12h)
• “Deep Learning for Image Processing”, practical works, L3 of Télécom Paris (3,5h)
• “Image Processing”, practical works, M1 of Télécom Paris (3h)
• Supervision of final year project, L3 of Télécom Paris (15h) on:
  • Deforestation detection from optical and SAR remote sensing images
  • Iceberg monitoring from SAR time-series
• Supervision of deep learning projects, M2 of Sorbonne Université (14h) on the following topics:
  • FFDNet for SAR despeckling ()
  • SAR River Segmentation through deep learning ()
  • Route Extraction from SAR images: an image segmentation problem
  • Multi-temporal despeckling with self-supervised deep learning
  • Change detection on SAR images with self-supervised learning
  • Self-supervised learning for SAR GRD time-series speckle reduction
  • Perceptual loss for SAR image despeckling
  • Deforestation detection from SAR images
  • Débruitage multi-temporel d’images SAR par apprentissage auto-supervisé
  • River segmentation from SAR images with deep learning
• “Remote Sensing Image Processing”, practical works (7,5h) and course (6h), M2 of Université Paris Cité
• “Processing of SAR data”, practical works, formation continue to DGA engineers (6h)