The team is formed by researchers from Constructor University in Bremen, Germany, the University of Padua, and the University of Bologna.
Their goal was to improve the way in which the mapping of planetary landforms is currently carried out. At the moment, creating geological maps of planetary surfaces such as Mars is a time-consuming, multi-step process.
However, the team believed that leveraging deep-learning techniques, which use artificial neural networks to analyse data sets, can significantly improve the production process, and allow the creation of an open-source, ready-to-use and highly customisable toolset for planetary mapping.
"We were interested in designing a simple, out-of-the-box tool that can be customised and used by many," said Giacomo Nodjoumi, one of the scientists involved in the project.
Examples...