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Proceedings Paper

Fast and robust exo-planet detection in multi-spectral, multi-temporal data
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Paper Abstract

Exo-planet detection is a signal processing problem that can be addressed by several detection approaches. This paper provides a review of methods from detection theory that can be applied to detect exo-planets in coronographic images such as those provided by SPHERE and GPI. In a first part, we recall the basics of signal detection and describe how to derive a fast and robust detection criterion based on a heavy tail model that can account for outliers in the residuals. In a second part, we derive detectors that handle jointly several wavelengths and exposures and focus on an approach that prevents from interpolating the data, thereby preserving the statistics of the original data.

Paper Details

Date Published: 27 July 2016
PDF: 10 pages
Proc. SPIE 9909, Adaptive Optics Systems V, 990957 (27 July 2016); doi: 10.1117/12.2233405
Show Author Affiliations
Éric Thiébaut, Univ. Lyon, Univ. Lyon 1, ENS de Lyon, CNRS, Ctr. de Recherche Astrophysique de Lyon (France)
Loïc Denis, Univ. Lyon, UJM-Saint-Étienne, CNRS, Institut d'Optique Graduate School, Lab. Hubert Curien (France)
Laurent Mugnier, ONERA (France)
André Ferrari, Observatoire de la Côte d'Azur, Lab. Lagrange, Univ. de Nice (France)
David Mary, Observatoire de la Côte d'Azur, Lab. Lagrange, Univ. de Nice (France)
Maud Langlois, Univ. Lyon, Univ. Lyon 1, ENS de Lyon, CNRS, Ctr. de Recherche Astrophysique de Lyon (France)
Faustine Cantalloube, ONERA (France)
Nicholas Devaney, National Univ. of Ireland, Galway (Ireland)


Published in SPIE Proceedings Vol. 9909:
Adaptive Optics Systems V
Enrico Marchetti; Laird M. Close; Jean-Pierre Véran, Editor(s)

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