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Location: Courses shall take place every Friday from 14:00 to 17:30, from January 17th until March 27th 2020 at ENS Paris-Saclay, 61 Avenue du Président Wilson,
94230 Cachan, France
.
More precisely courses shall take place at amphitheatre Tocqueville.

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

Abstract

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

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

Syllabus

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Bibliography

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Where & When

École normale supérieure Paris-Saclay,
61 Avenue du Président Wilson,
94230 Cachan, France
(access map to ENS Paris-Saclay @ Cachan)

Classroom: Amphi Tocqueville, Bâtiment d’Alembert
(find it here, following the red arrow)

Courses shall take place Fridays from 14:00 to 17:30, from January to March 2020.

Schedule

[…]

DateRoomTopic
Jan 17Amphi Tocqueville
1) What can be seen from space ?
Jan 24Amphi Tocqueville
2) Geometric modeling of optical satellites and application to 3D reconstruction
Jan 31Amphi Tocqueville
3) Modeling a Synthetic Aperture Radar instrument
Feb 07Amphi Tocqueville
4) How to recover 3D information with optical sensors ?
Feb 14Amphi Tocqueville
5) Sub-pixel accuracy in stereo matching with low baseline
Feb 21Amphi Tocqueville
6) Generation and exploitation of 3D data
Feb 28Amphi Tocqueville
7) How to recover 3D information with SAR sensors ?
Mar 06Amphi Tocqueville
8) Processing and exploitation of SAR data
Mar 13Amphi Tocqueville
9) Optical & SAR time series analysis
Mar 20Amphi Tocqueville
Project work
Mar 27Amphi Tocqueville
Project Presentations