MaxiMask: Identifying Contaminants in Astronomical Images using Convolutional Neural Networks
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Communication dans un congrès
Este ítem está publicado en
Astronomical Data Analysis Software and Systems XXVIII. ASP Conference Series, Vol. 521, proceedings of a conference held (11-15 October 2018) at The Hotel at the University of Maryland, College Park, Maryland, USA. Edited by Peter J. Teuben, Marc W. Pound, Brian A. Thomas, and Elizabeth M.Warner. San Francisco: Astronomical Society of the Pacific, 2019, p.99, 2018-10-11, Maryland. 2019
Resumen en inglés
We present MaxiMask, a contaminant detector for ground-based astronomical images based on convolutional neural networks (CNNs). Once trained, Maxi-Mask is able to detect cosmic rays, hot pixels, bad pixels, saturated pixels, ...Leer más >