New Framework for Quantifying InSAR Uncertainty in Structural Health Monitoring
A joint research effort from Politecnico di Milano, ETH Zürich, and TU Delft presents a novel methodology for evaluating uncertainty in InSAR-based monitoring of civil infrastructure.
A new open-access publication in Automation in Construction introduces a robust framework to assess and mitigate uncertainty in the use of Interferometric Synthetic Aperture Radar (InSAR) data for structural health monitoring. The study investigates how spatial and temporal resampling affects the reliability of deformation measurements, providing key insights into grid design strategies.
The proposed methodology includes a comparative analysis of different spatial grid configurations and introduces new uncertainty metrics tailored to support decision-making in grid layout selection. These tools are essential for enhancing the precision and applicability of InSAR techniques in infrastructure monitoring applications.
This research is the result of a collaborative effort by Antonios Kamariotis, Giorgia Giardina, Eleni Chatzi, and Maria Pina Limongelli, conducted under the auspices of the IDEA League—an alliance of leading technical universities in Europe.