Artificial intelligence for celestial object census: the latest technology meets the oldest science.

Abstract

Authors

• Baoqiang Lao
  Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China. Electronic address: lbq@shao.ac.cn.
• Tao An
  Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China. Electronic address: antao@shao.ac.cn.
• Ailing Wang
  Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China; University of Chinese Academy of Sciences, Beijing 100049, China.
• Zhijun Xu
  School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, Fujian 350108, People's Republic of China.
• Shaoguang Guo
  Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China.
• Weijia Lv
  Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China.
• Xiaocong Wu
  Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China.
• Yingkang Zhang
  Shanghai Astronomical Observatory, Key Laboratory of Radio Astronomy, Chinese Academy of Sciences, Shanghai 200030, China.

Keywords

External Resources