Using Machine Learning based techniques to improve the quality and resolution of remote sensing data of the Moon. Robotic task planning on lunar surface requires enormous amount of data, typically gathered with satellites. This project presents a direct solution to improve the already collected data, particularly images, enhancing the capabilities of the planning teams working in future lunar robotics missions. This work explores additionally an alternative to the launch of new satellites with better instrumentation into lunar orbits to obtain more precise data, with the corresponding economic and time saving.
Duration: 3 + 1 years