Lunar impact crater identification and age estimation with Chang’E data by deep and transfer learning

Abstract

Using Chang’E data, the authors here identify more than 109,000 previously unrecognized lunar craters and date almost 19,000 craters based on transfer learning with deep neural networks. A new lunar crater database is derived and distributed to the planetary community.