Course Overview

Part 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.

http://phelma.grenoble-inp.fr/en/studies/image-and-signal-processing-apllications-and-processing-astrophysical-and-geophysical-sciences-wpmtisp7

Learning Achievement

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.

Competence

Part 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.

Course prerequisites

Basics of linear transforms (PCA), optimization/estimation methods, and Bayesian inference.

Grading Philosophy

Final exam

Course schedule

Course type

Lecture

Online Course Requirement

Instructor

Sylvain DOUTE

Other information

Course content can evolve at any time before the start of the course. It is strongly recommended to discuss with the course contact about the detailed program.

Please consider the following deadlines for inbound mobility to Grenoble:
- April 1st, 2020 for Full Year (September to June) and Fall Semester (September to January) intake ;
- September 1st, 2020 for Spring Semester intake (February – June).

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