JAVA EE, GWT, JavaScript, Servlet Java, XML, C/C++, and Python. Engineering school or Master, with specialisation in signal and image processing, or applied mathematics. We use "agile" methodologies and work in a continuous integration and automated validation environment. The trainee shall have both computer programming skills (JAVA EE, GWT, JavaScript, Servlet Java, XML, C/C++, and Python) and an image processing background. Depending on the planning of the internship, the contents may be adapted to be as interesting as possible. The subject will be more precisely detailed during the interview, depending on the different studies of the image department and on the aspirations of the candidate. GUI: Search and visualise videos in the Image Chain Catalogue. Image processing: reformatting videos to be readable in internet browser Developing: video metadata extraction module The training period will consist in several tasks: This product should be used in the future for the referencing of these videos. The Image Chain department provides, for the operational ground segment, a Catalogue of satellites images. Such innovative platforms will provide videos covering very large field of view: each frame will contain from 100 to 1000 mega pixels. Persistent observation will be soon possible from space (in geostationary orbit) and stratosphere.
TRANSFORMICE CODES 2017 SOFTWARE
Speciality: Product software development, image processing and GUI Metadata extraction and cataloguing of videos
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. The Space System business line of Airbus Defence & Space is the European leader in the field of optical Earth Observation systems. The trainee shall have both solid image processing and machine learning backgrounds, as well as demonstrating sound computer programming skills (C/C++ or Python). Depending on the planning of the internship, the contents may be adapted to be as interesting and suitable as possible. The training period will consist in applying some machine learning technics to visionbased algorithms developed in the department, within the Image Chain department of the Space System business line of Airbus Defence & Space. One lead to increase processing efficiency or to reach new performance levels is to rely on machine learning the tremendous evolution in this domain (e.g. Besides, the need for precision remains important. Limited resources of the spacecraft: algorithms have to be heavily optimized in that perspective. However the processing required for such needs shall deal with the very Vision-based navigation is an enabler for many space applications like in orbit servicing, landing on asteroids, debris removal. Airbus Defence & Space, Toulouse, França Empresa
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