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Paper: Deblending in Crowded Star Fields Using Convolutional Neural Networks
Volume: 521, Astronomical Data Analysis Software and Systems XXVI
Page: 382
Authors: Paillassa, M.; Bertin, E.
Abstract: Astronomical images with high stellar density pose a challenge to source extraction algorithms. We present a new star detection and deblending method based on a convolutional neural network. The detector can deal with a wide variety of astronomical images, and shows notable gain in both completeness and reliability after training, when compared to traditional single-pass algorithms. We discuss further prospects and improvements to the method.
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