Analysis of lunar impactors using deep machine learning and neural networks

The problem of constructing a catalogue of lunar impact craters using deep machine learning and neural network methods is considered. A method was developed for analyzing satellite observations to reveal impact structures on the lunar surface. An analysis of the structure of impact objects and their relationship with slow asteroids was carried out. The created catalogue is planned to be used in the future to assess the content of mineral resources on the Moon.