School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China
Zhiren Pan
School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China
Jianwei Zhou
School of Electronic and Information Engineering, Hebei University of Technology, Tianjin 300401, China
Bo Qiu
School of Intelligence Science and Technology, Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing 100083, China
A-Li Luo
CAS Key Laboratory of Optical Astronomy, National Astronomical Observatories, Beijing 100101, China
Chong Luo
Innovation and Research Institute of Hebei University of Technology, Hebei University of Technology, Shijiazhuang 050299, China
Xiaodong Luan
School of Electrical and Electronic Engineering, Jiangsu Ocean University, Lianyungang 222000, China
The Enhanced Wide-field Galaxy Classification Network (EWGC) is a novel architecture designed to classify spiral and elliptical galaxies using Wide-field Infrared Survey Explorer (WISE) images. The EWGC achieves an impressive classification accuracy of 90.02%, significantly outperforming the previously developed WGC network and underscoring its superior performance in galaxy morphology classification. Remarkably, the network demonstrates a consistent accuracy of 90.02% when processing both multi-target and single-target images. Such robustness indicates the EWGC’s versatility and potential for various applications in galaxy classification tasks.
