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Found 5 papers, 1 papers with code
Astronomical Images Quality Assessment with Automated Machine Learning
Electronically Assisted Astronomy consists in capturing deep sky images with a digital camera coupled to a telescope to display views of celestial objects that would have been invisible through direct observation.
Détection d'objets célestes dans des images astronomiques par IA explicable
Depending on the magnitude of the targets, the observation conditions and the time during which the data is captured, it is possible that only stars are present in the images.
MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope
Modern automated telescopes allow to capture astronomical images in a reproducible way.
Amélioration de la qualité d'images avec un algorithme d'optimisation inspirée par la nature
Reproducible images preprocessing is important in the field of computer vision, for efficient algorithms comparison or for new images corpus preparation.
A user-driven case-based reasoning tool for infilling missing values in daily mean river flow records
In this work, we introduce gapIt, a user-driven case-based reasoning tool for infilling gaps in daily mean river flow records.
