Prè-requis
Basics of linear algebra, calculus, statistics, basics of signal processing, basic programming
Objectif du cours
Provide a good understanding of earth observation systems and their mathematical modeling (optic and SAR satellite sensors), with a focus on data processing for elevation recovery (stereo-vision and SAR interferometry) and time series analysis. Handling of real images from space agencies or private providers through practical work sessions.
Organisation des séances
- Place: ENS paris-saclay ou Visioconférence
- 9x (3h30 per session)
- Usage of a personal laptop is encouraged for practical sessions
Mode de validation
- Reports and source code of practical sessions
- Project on a remote sensing subject (report, code and oral presentation)
Titre en anglais:
Ce cours est donné de préférence en français. Mais il peut être donné partiellement en anglais si une majorité des élèves le demande.
Références
Remote sensing imagery, ISTE Wiley, 2014, F. Tupin, JM Nicolas, J. Inglada
Imagerie Spatiale Des principes d’acquisition au traitement des images optiques pour l’observation de la Terre. CNES, ONERA, IGN (2008), Cepaudes. ISBN 9782854288445.
Imaging with Synthetic Aperture Radar. D. Massonet and J.C. Souyris. EPFL Press, 2008.
Site web https://mvaisat.wp.imt.fr/
Thèmes abordés
- What can be seen from space?
- Modeling an optical instrument
- Modeling a Synthetic Aperture Radar instrument
- How to recover 3D information with optic sensors?
- Sub-pixel accuracy in stereo matching
- How to recover 3D information with SAR sensors?
- Processing and exploitation of SAR data
- Time series analysis
Partenaires
Télécom ParisTech, ENS Paris-Saclay
Gabriele Facciolo
(ENS Paris-Saclay)
Florence Tupin
(Telecom Paris)
Carlo de Franchis
(ENS Paris-Saclay)
Enric Meinhardt
(ENS Paris-Saclay)
Emanuele Dalsasso
(Telecom Paris)
