Satellite image performance
Détails de l'offre
Airbus Defence & Space

09 Octobre 2018 | Aérospatial | Airbus Defence & Space

Satellite image performance

Salut, je te recommande la lecture de cette offre : sur digiSchool ingenieurs.
Satellite image performance

Type de contrat

Stage 6 mois



Présentation de l'entreprise

The Space System business line of Airbus Defence & Space is the European leader in the field of optical Earth Observation systems. The company, through is history, is a pioneer of space industry, responsible for the development of the first Earth Observation space systems in Europe, starting with the SPOT family. Since this time, the company has led the major European developments in the fields, through programs such as METOP, ERS, ENVISAT, HELIOS, PLEIADES or SPOT6. This experience developed is now applied on export turn-key programs such as FORMOSAT, THEOS, ALSAT, CHILI, KazEOSat-1 or PeruSat, involving up to sub metric resolution systems, or such as COMS, a geostationary meteorological satellite for Korea. This evolution conveyed Airbus Defence & Space to develop a strong expertise in Image Quality, Image Processing and Image Simulation through a group of about 80 engineers in 2017, constituting the Image Chain department (TESUI). The Image team carries out activities


Subject Image performance is the key components of the acquisition chain for observation missions and planetary exploration missions. Needs in processing are of various types: restoration, registration, image fusion, tracking, navigation, image simulation… The training period will consist in developing and testing new algorithms in one of the above-cited domain within the Space System business line of Airbus Defence & Space. The subject will be more precisely defined during the interview, depending first, on the different studies of the image department and second, on the aspirations of the candidate. The subjects already identified this year are in the following themes: - In-flight imaging performance verification tools - Image quality (blur, noise) quantified criteria - Generation of a reference image based on Sentinel2 data Depending on the planning of the internship, the contents may be adapted to be as interesting as possible. The trainee shall have both a solid

Profil recherché

- Generic knowledge in image processing as well as numerical analysis, - Matlab or C/C++; Windows & Linux OS Desired education - Engineering school or Master, with specialisation in signal and image processing, or applied mathematics. Training period length: 5 to 6 months in 2019 + Possibility of a one year internship.

Date de début




Lieu de travail

TOULOUSE (31400)


Cette offre n'est plus à pouvoire.

Toutes les offres de stage
Moteur de formation
Zoom ecole