đź“ŤUniversitĂ di Roma “Tor Vergata” Italy
📅Fri. 26 July. 2024 – 10h30 / 11h30 (Italy/Romania)
Earth observation satellites collect huge amounts of data, and new methods are required to process them efficiently. Onboard artificial intelligence (AI), particularly Deep Learning, represents a promising solution, but constraints in the space environment limit the processing power available. This thesis explores the use of optimized AI models for on-board processing tasks, even in a real edge context, including change detection and image compression, in order to successfully transmit valuable information and reduce the data volume to the ground.