Morphological classification of compact and extended radio galaxies using convolutional neural networks and data augmentation techniques

Viera Maslej-Krešňáková, Khadija El Bouchefry, Peter Butka

Machine learning techniques have been increasingly used in astronomical applications and have proven to successfully classify objects in image data with high accuracy. The current…