In the field of the structural engineering, the use of satellite data is oriented towards the long-term monitoring. An automatic procedure to identify buildings in urbanized areas and give criticality deformation maps is presented in this work. The Density-Based Spatial Clustering of Applications with Noise algorithm is applied to datasets of georeferentied measuring points detected through the Multi Temporal Differential Synthetic Aperture Radar Interferometry technique. The criticality deformation maps referred to a monitoring time frame can be used for a preliminary structural monitoring of the area, with the identification of buildings affected by deformations or differential displacements, that need further and specific investigations.
Criticality maps of built areas based on Artificial Intelligence applied to Satellite data
Miano A.;
2022-01-01
Abstract
In the field of the structural engineering, the use of satellite data is oriented towards the long-term monitoring. An automatic procedure to identify buildings in urbanized areas and give criticality deformation maps is presented in this work. The Density-Based Spatial Clustering of Applications with Noise algorithm is applied to datasets of georeferentied measuring points detected through the Multi Temporal Differential Synthetic Aperture Radar Interferometry technique. The criticality deformation maps referred to a monitoring time frame can be used for a preliminary structural monitoring of the area, with the identification of buildings affected by deformations or differential displacements, that need further and specific investigations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
