Crater counting on the Moon and other bodies is crucial to constrain the dynamical history of
the Solar System. This has traditionally been done by visual inspection of images, thus …

Craters are one of the most important morphological features in planetary exploration. To
that extent, detecting, map** and counting craters is a mainstream process in planetary …

Impact crater cataloging is an important tool in the study of the geological history of planetary
bodies in the Solar System, including dating of surface features and geologic map** of …

The driving precision landing requirement for the Autonomous Landing and Hazard
Avoidance Technology project is to autonomously land within 100 m of a predetermined …

This paper introduces a new GeoAI solution to support automated map** of global craters
on the Mars surface. Traditional crater detection algorithms suffer from the limitation of …

Abstract Convolutional Neural Networks (CNN) offer promising opportunities to
automatically glean scientifically relevant information directly from annotated images …

The impact crater detection offers a great scientific contribution in analyzing the geological
processes, morphologies and physical properties of the celestial bodies and plays a crucial …

This paper proposes the use of Transfer Learning from the Moon to Ceres for real-time
autonomous crater detection operations on asteroids. This approach, based on the use of a …

Research on automatic identification of impact craters on Mars and other planetary bodies
has concentrated on detecting them from imagery data. We present a novel approach to …

Craters are distinctive features on the surfaces of most terrestrial planets. Craters reveal the
relative ages of surface units and provide information on surface geology. Extracting craters …