Galaxy Morphology Classification via Deep Semisupervised Learning with Limited Labeled Data

Galaxy morphology classification plays a crucial role in understanding the structure and evolution of the Universe. With galaxy observation data growing exponentially, machine learning has become a core technology for this classification task. However, traditional machine learning methods predominan...

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Auteurs principaux:	Zhijian Luo, Jianzhen Chen, Zhu Chen, Shaohua Zhang, Liping Fu, Hubing Xiao, Chenggang Shu
Format:	Artigo
Langue:	Inglês
Publié:	IOP Publishing 2025-01-01
Collection:	The Astrophysical Journal Supplement Series
Sujets:	Galaxies Convolutional neural networks Ground-based astronomy Astronomy data modeling Astronomy data analysis Computational astronomy
Accès en ligne:	https://doi.org/10.3847/1538-4365/addb4c
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