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School of engineering in Physics, Applied Physics, Electronics & Materials
Science
> Studies
This course presents advanced numerical methods and algorithms for the restoration/analysis of planetary and astrophysical data. It is not intended as a comprehensive courses on the discipline but as the presentation of some key techniques. It is intended to convey a multi-disciplinary view of the image exploitation problem in astrophysics.
Contact Sylvain DOUTEPart I : in-orbit remote sensing of planets
Introduction : optical sensors for planetary exploration,
correcting artifacts on images and spectra using linear transforms : quality improvement,
statistical inference (SIR) and bayesian methods for inverting physical models applied to analysing images,
optimisation problems for generating digital elevation models.
Part II : telescopic imagery of the Universe
Image formation in astronomy,
High contrast imaging,
Aperture synthesis imaging,
image reconstruction.
Basics of linear transforms (PCA), optimization/estimation methods, and Bayesian inference.
Semester 9 - The exam is given in english only 
Semester 9 - This course is given in english only
Date of update January 9, 2017
3 Parvis Louis Néel - CS 50257 - 38016 Grenoble Cedex 1
