Courses shall take place at Télécom ParisTech, 46 rue Barrault, 75013 Paris.
In order to ensure your admission to the building, please bring your ID card + student’s card (mentioning Université Paris-Saclay).
This course changed significantly from previous year’s course. The course description as of 2012-2017 is still available in this archive site.
If there is one source of big data today, it is the continuous stream of high-resolution images from Earth observation satellites. The combined bandwidth of all commercial satellites is of several Terabytes per hour. A good understanding of these systems and instruments allows to fully take advantage of this source of information. This course is a well balanced mix of mathematical modeling of these systems and practical works handling remote sensing images retrieved either from space agencies or private providers to solve real-scale imaging problems.
The following issues are addressed during the course: (1) modeling of optical and SAR (Synthetic Aperture Radar) acquisition systems and radiometric and geometric corrections; (2) recovering 3D information from optical and SAR sensors (stereo-vision and multi-stereo, point matching, sub-pixel accuracy, interferometry), (3) time series creation and analysis (change detection, multi-temporal change analysis, either on single modality or combining heterogeneous sensors). The required mathematical tools are introduced along the way. Namely, variational calculus, discrete and continuous optimization, approximation theory and spectral analysis, mathematical morphology, statistical modeling and inference.
The courses will be closely linked to practical work sessions (during the course or to do on your own) giving you a straightforward expertise to handle these data. Usage of a personal laptop is encouraged for practical sessions.
Evaluation is done through practical works and a project done all along the period. The projects are dedicated to current issues raised by the newly launched or upcoming sensors and rely on machine learning and/or image processing methods.
Where & When
Courses shall take place Fridays from 2 p.m. to 5 p.m., from january to march 2018.