DECORAS: detection and characterization of radio-astronomical sources using deep learning
S. Rezaei,
J. P. McKean,
M. Biehl
et al.
Abstract:We present DECORAS, a deep learning based approach to detect both point and extended sources from Very Long Baseline Interferometry (VLBI) observations. Our approach is based on an encoder-decoder neural network architecture that uses a low number of convolutional layers to provide a scalable solution for source detection. In addition, DECORAS performs source characterization in terms of the position, effective radius and peak brightness of the detected sources. We have trained and tested the network with imag… Show more
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