About me
I received the M.Sc. in Multimedia Signal Processing And Telecommunication Networks (2016, with honours) from University of Genoa in Genova, Italy, and the Ph.D. in Science (2020) at UiT The Arctic University of Norway in Tromsø, Norway.
My research is related to pattern recognition and machine learning applied to Earth observation and satellite remote sensing. My interests include image processing, unsupervised learning, clustering, classification, and deep learning.
My research is mainly focused on the topic of Earth Observation and satellite remote sensing. In particular, most of my efforts are dedicated to the problem of heterogeneous change detection. When dealing with images acquired with different modalities at different times, homogeneous change detection methods perform poorly due to the lack of a common reference frame and the high incompatibility of the data and their domains. Heterogeneous change detection methods aim at bridging these gaps between these unmatching distributions and domains to highlight areas affected by changes.
My work on this topic is summarized in the Publications