Abstract: FIRST Classifier is an on-line system for automated classification of compact and extended radio sources. It is developed based on a trained Deep Convolutional Neural Network Model to automate the morphological classification of compact and extended radio sources observed in the FIRST radio survey. FIRST Classifier is able to predict the morphological class for a single source or for a list of sources as Compact or Extended (FRI, FRII and BENT).
Credit: Alhassan, Wathela; Taylor, A. R.; Vaccari, Mattia
Preferred citation method: https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.2085A