Impact craters are the most significant topographic features on the lunar surface. They are
also essential factors affecting the construction of lunar bases and activities on the lunar …

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 …

Impact craters are the most prominent features on the surface of the Moon, Mars, and
Mercury. They play an essential role in constructing lunar bases, the dating of Mars and …

Lunar craters are very important for estimating the geological age of the Moon, studying the
evolution of the Moon, and for landing site selection. Due to a lack of labeled samples …

The impact crater is the most dominant geomorphic structural units over the planetary
surface and its accurate extraction is of great significance to investigate the evolution of the …

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 craters are the most prominent topographic feature on the lunar surface, which will
play a significant role in constructing lunar bases and lunar surface activities in the future …

Identification of craters plays an essential role in planetary exploration. This article proposes
a new neural network, called Square U-Net (SqUNet) for automatic detection of craters using …

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 …

Currently, deep neural networks have gained impressive performance for object detection
when plenty of labeled training data are available. However, a substantial quantity of …