Satellite and Space Imagery

Main contact: Guillaume Tochon

Satellite Imagery

The page is still under construction. This section will be added soon.

Space Imagery

The Image team collaborates with the Institut de Mécanique Céleste et de Calcul des Éphémérides (IMCCE, Observatoire de Paris) on subjects involving the development of algorithms with image processing tools (especially mathematical morphology) and machine/deep learning with applications in astrometry (that is, the detection/localization/classification of astronomical objects in images from various ground-based or space missions).

Ongoing projects

Ongoing projects in which the Image team is involved include

  • The CABERNET project, whose goal is the automatic detection and identification of meteors in images acquired continuously by ground stations, in order to reconstruct in 3D the trajectory of meteoroid orbits for a better prediction of meteor showers and outbursts
  • The large scale exploration of the CASSINI image data set, acquired by the Cassini spacecraft during its 13 years mission around Saturn. As several hundreds of thousands of images have been acquired by the spacecraft, the Image team develops AI algorithms for the automatic and systematic classification of astronomical objects present in those images, such as Sturn moons or cosmic rays. This is notably the topic of Giulio Quaglia’s PhD work, jointly supervised by Guillaume Tochon and Valéry Lainey (IMCCE).

These collaborations with the IMCCE are fairly recent, but several publications are on their way, so stay tune for more information!