No. 4 (2021): Heterogeneous Change Detection on Remote Sensing Data with Self-Supervised Deep Canonically Correlated Autoencoders

Master thesis submitted to the Electrical, Electronics and Telecommunications Engineering and Naval Architecture Department, University of Genoa, March 2020.

The main part of the work was carried out during the author’s exchange as an Erasmus student to UiT The Arctic University of Norway, where he was supervised by members of the Machine Learning Group in the Department of Physics and Technology. The thesis has later resulted in a conference paper presented at the IEEE International Geoscience and Remote Sensing Symposium 2020. It was also awarded the Premio Nazionale di Laurea ”Euginio Zilioli” (”Euginio Zilioli” national thesis award) for 2020 by the Italian Association of Remote Sensing (AIT) and the Institute for Electromagnetic Sensing of the Environment of the Italian National Research Council (CNR-IREA).

The work is published to serve as a reference for further publications fostered through the collaboration between the author and the thesis supervisors at the University of Genoa and UiT The Arctic University of Norway.

Published: 2021-03-18