Craters are one of the most prominent features on planetary surfaces, used in applications
such as age estimation, hazard detection, and spacecraft navigation. Crater detection is a …

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

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 …

Impact craters are extensively researched geological features that contribute to various
aspects of lunar science, such as evaluating the model age, regolith thickness, etc. The …

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 …

Deep learning-based crater detection algorithms have made remarkable progress in the
fields of space science and engineering, establishing themselves as the leading solutions …

Craters are one of the most studied planetary features used for different scientific analyses,
such as estimation of surface age and surface processes. Satellite images utilized for crater …

As space missions aim to explore increasingly hazardous terrain, accurate and timely
position estimates are required to ensure safe navigation. Vision-based navigation achieves …

Forward prediction of directional scattering from all-dielectric nanostructures by a two-level
nested U-shaped convolutional neural network (U^ 2-Net) is investigated. Compared with …

The terrestrial planets, including the Moon, Earth, and Mars, have impact craters,
contributing significantly to the solar system's complex geomorphology. However …