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Accueil > Formations > Master MVA > Présentation des cours
Remote sensing data: from sensor to large-scale geospatial data exploitation
Titre en anglais:
Intervenants : Florence Tupin (Telecom Paris), Gabriele Facciolo (ENS Paris-Saclay), Carlo de Franchis (ENS Paris-Saclay), Enric Meinhardt (ENS Paris-Saclay), Emanuele Dalsasso (Telecom Paris)
Partenaires : Télécom ParisTech, ENS Paris-Saclay
Objective of the course :
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.
Topics :
- 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
Prerequisites :
Organization of courses:
- Place: ENS paris-saclay ou Visioconférence
- 9x (3.5h per session)
- Usage of a personal laptop is encouraged for practical sessions
Validation :
- Reports and source code of practical sessions
- Project on a remote sensing subject (report, code and oral presentation)
References :
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/