Faustine Cantalloube, Carlos Gomez-Gonzalez, Olivier Absil, Carles Cantero, Regis Bacher, Markus Bonse, Michael Bottom, Carl-Henrik Dahlqvist, Célia Desgrange, Olivier Flasseur, Thomas Fuhrmann, Thomas H. Henning, Rebecca Jensen-Clem, Matthew Kenworthy, Dimitri Mawet, Dino Mesa, Tiffany Meshkat, David Mouillet, André Müller, Evert Nasedkin, Benoit Pairet, Sébastien Piérard, Jean-Baptiste Ruffio, Matthias Samland, Jordan Stone, Marc van Droogenbroeck
- The Exoplanet Imaging Data Challenge is a community-wide effort meant to offer a platform for a fair and common comparison of image processing methods designed for exoplanet direct detection. For this purpose, it gathers on a dedicated repository (Zenodo), data from several high-contrast ground-based instruments worldwide in which we injected synthetic planetary signals. The data challenge is hosted on the CodaLab competition platform, where participants can upload their results. The specifications of the data challenge are published on our website https://exoplanet-imaging-challenge.github.io/. The first phase, launched on the 1st of September 2019 and closed on the 1st of October 2020, consisted in detecting point sources in two types of common data-set in the field of high-contrast imaging: data taken in pupil-tracking mode at one wavelength (subchallenge 1, also referred to as ADI) and multispectral data taken in pupil-tracking mode (subchallenge 2, also referred to as ADI+mSDI). In this paper, we describe the approach, organisational lessons-learnt and current limitations of the data challenge, as well as preliminary results of the participants’ submissions for this first phase. In the future, we plan to provide permanent access to the standard library of data sets and metrics, in order to guide the validation and support the publications of innovative image processing algorithms dedicated to high-contrast imaging of planetary systems.
MetadatenAuthor: | Faustine Cantalloube, Carlos Gomez-Gonzalez, Olivier Absil, Carles Cantero, Regis Bacher, Markus Bonse, Michael Bottom, Carl-Henrik Dahlqvist, Célia Desgrange, Olivier Flasseur, Thomas FuhrmannORCiDGND, Thomas H. Henning, Rebecca Jensen-Clem, Matthew Kenworthy, Dimitri Mawet, Dino Mesa, Tiffany Meshkat, David Mouillet, André Müller, Evert Nasedkin, Benoit Pairet, Sébastien Piérard, Jean-Baptiste Ruffio, Matthias Samland, Jordan Stone, Marc van Droogenbroeck |
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DOI: | https://doi.org/10.1117/12.2574803 |
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ISBN: | 9781510636835 |
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Parent Title (English): | Adaptive Optics Systems VII : 14-22 December 2020, online only, United States |
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Publisher: | SPIE |
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Editor: | Dirk Schmidt, Laura Schreiber, Elise Vernet |
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Document Type: | conference proceeding (article) |
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Language: | English |
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Year of first Publication: | 2020 |
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Release Date: | 2022/02/16 |
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Pagenumber: | 321 |
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Konferenzangabe: | SPIE Astronomical Telescopes + Instrumentation, 2020, Online Only |
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Andere Schriftenreihe: | Proceedings of SPIE ; volume 11448 |
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Institutes: | Fakultät Elektro- und Informationstechnik |
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| Fakultät Elektro- und Informationstechnik / Labor Optische Übertragungssysteme |
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research focus: | Information und Kommunikation |
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Licence (German): | Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG |
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