Low-level human interaction software for identification, monitoring and cataloguing orbital object from optical observations

The thesis focused on the development of an automated system for the extraction of orbital parameters and light curves from optical SST observations, applied to both cataloged and uncataloged space objects. Machine learning techniques and optimization algorithms were employed for attitude determination, together with survey strategies for Molniya orbits and the design of a database for the management of observational data. The methodologies were applied to the observatories of the Sapienza network and to the AWARE (SSC) observatory. In addition, a DSLR camera system for GEO surveys was designed, installed, and commissioned at the Western Australia Space Center (WASC).