Location: Courses shall take place every Monday from 9:00 to 12:00, from January 11th until March 29th 2021 at ENS Paris-Saclay, 4 Avenue des Sciences, 91190 Gif-sur-Yvette, France.
Courses shall start remotely as videoconference.

Network & Server access: For the practical work (TPs) you must bring your own laptop and configure it to connect to the eduroam WiFi network.


Participer à la réunion Zoom
ID de réunion : 945 1733 9386
Code secret : 161820
Composez un numéro en fonction de votre emplacement
+33 1 8699 5831 France
+33 1 7037 2246 France
Participer à l’aide d’un protocole SIP
Participer à l’aide d’un protocole H.323
Code secret : 161820
ID de réunion : 945 1733 9386

Access the TPs here (password will be provided during the lecture)



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.

Teaching staff

Emanuele Dalsasso,
Carlo de Franchis,
Gabriele Facciolo,
Enric Meinhardt,
Florence Tupin





Where & When

École normale supérieure Paris-Saclay,
4 Avenue des Sciences, 91190 Gif-sur-Yvette, France.

Courses shall start as videoconference.

Courses shall take place Mondays from 9:00 to 12:00, from January to March.



Jan 11videoconference1) What can be seen from space ?
Jan 25videoconference2) Geometric modeling of optical satellites and application to 3D reconstruction
Feb 01videoconference3) Modeling a Synthetic Aperture Radar instrument
Feb 08videoconference4) How to recover 3D information with optical sensors ?
Feb 15videoconference5) Sub-pixel matching and super-resolution
Feb 22videoconference6) Generation and exploitation of 3D data
Mar 01 maybe 1Z567) How to recover 3D information with SAR sensors ?
Mar 08maybe 1Z568) Processing and exploitation of SAR data
Mar 15maybe 1Z569) Optical & SAR time series analysis
Mar 22maybe 1Z56Project Work
Mar 29maybe 1Z56Project Presentations