Morphological classification of galaxies using Conv-nets
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-020-00526-w.pdf
Reference36 articles.
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2. Abd Elfattah M, Elbendary N, Elminir HK, Abu El-Soud MA, Hassanien AE (2014) Galaxies image classification using empirical mode decomposition and machine learning techniques, in 2014 International Conference on Engineering and Technology (ICET), pp 15
3. Baillard A et al. (2011), The EFIGI catalogue of 4458 nearby galaxies with detailed morphology, Astronomy & Astrophysics, vol 532, id.A74, 27
4. Ball NM, Brunner RJ, Myers AD, Tcheng D (2006) Robust Machine Learning Applied to Astronomical Data Sets. I. Star-Galaxy Classification of the Sloan Digital Sky Survey DR3 Using Decision Trees. Astrophysical J 650:497–509. https://doi.org/10.1086/507440
5. Brunner RJ, Kim EJ (2017) Star-galaxy classification using deep convolutional neural networks. Monthly Royal Astronomical Soc 464:4463–4475
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