In view of the problems of traditional lunar crater detection algorithm (CDA) needs artificial
building crater, morphological characteristics, and the extraction precision is not high and …

Impact craters are the most prominent topographic feature on the lunar surface, which will
play a very important role in the construction of lunar bases and lunar surface activities in the …

Although a digital elevation model (DEM) is often used for crater classification, the DEM has
low resolution and thus may not reveal small craters. This research showed that a small …

Lunar craters are essential for spacecraft landing navigation and lunar exploration missions.
Deep learning holds great promise in the crater detection task, but still faces some …

The detection and counting of lunar impact craters are crucial for the selection of detector
landing sites and the estimation of the age of the Moon. However, traditional crater detection …

Impact cratering process is the major geologic activity on the surface of the Moon, and the
spatial distribution and size-frequency distribution of lunar craters are indicative to the …

The lunar crater recognition plays a key role in lunar exploration. Traditional crater
recognition methods are mainly based on the human observation that is usually combined …

Lunar crater detection plays an important role in lunar exploration, while machine learning
(ML) exhibits promising advantages in the field. However, previous ML works almost all …

In this master thesis, we propose a novel approach to detect lunar craters using new deep
learning advances. The architecture of the model employed is a fully convolutional neural …

Terrestrial planets and their moons have impact craters, contributing significantly to the
complex geomorphology of planetary bodies in our Solar System. Traditional crater …