Artificial Intelligence and Geomatics
keywords ARTIFICIAL INTELLIGENCE, DEEP LEARNING, GEOMATICS
Reference persons FILIBERTO CHIABRANDO
Description The aim of the thesis is related to the use of deep learning algorithms for improving the built heritage knowledge and analysis. The possibility offered by the neural networks will be evaluated in order to automatically recognize the building damage assessment at the building and urban scale. Different aerial (drone) and terrestrial data will be used for the automatic evaluation. An important part of the thesis will be related to the algorithms' training using data already available or acquired for the specific case study.
Deadline 25/02/2023 PROPONI LA TUA CANDIDATURA