On October 23, Gianmarco Perantoni has succesfully defended his PhD Thesis on “Robust Deep Learning Methodologies for Weakly Supervised Remote Sensing Image Classification“.…
On June 18, Jing Zhang has succesfully defended her PhD Thesis on “Semantic Change Detection in Multitemporal Remote Sensing Images Using Deep Neural Networks”..…
The RSLab activities and projects related to remote sensing for forest monitoring have been the focus of a TV report on the national RAI 3 TG Leonardo and on the RAI TGR . The report addresses the activities developed by using LiDAR sensors and…
Artificial intelligence (AI) is changing and will change more and more in the future the scenario in the space activities and applications. The impact of AI covers almost all the components of space: robotics, autonomous…
Congratulations to Giulio Weikmann (PhD student at RSLab) who got theMaster Thesis Award at the Consiglio Nazionale delle Ricerche – Istituto per il Rilevamento Elettromagnetico dell’Ambiente (CNR-IREA) and Associazione Italiana Telerilevamento (AIT)…
The H2020 ExtremeEarth project has concluded successfully, developing artificial intelligence techniques for the automatic analysis of remote sensing images. In the project RSLab had the leadership in the design and development…
The ExtremeEarth team and RSLab will present the results of the H2020 ExtremeEarth project regarding innovative AI and bigdata technologies for Earth observation data and how they have been used for food security and the polar regions.…
A new Moon crater database has been generated by using advanced deep learning and transfer learning methodologies applied to lunar images. More than 109,000 previously unrecognized craters have been identified on the Moon’s surface, dozens of times larger than…