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Mirmazloumi, S. Mohammad; Wassie, Yismaw; Navarro, José Antonio; Palamà, Riccardo; Crosetto, Michele; Monserrat, Oriol
Procedia computer science, 2022, Letnik: 196Journal Article
This study proposes modifications to an existing automatic classification method of Persistent Scatterers Interferometry (PSI) time series (TS) and a new procedure to classify ground movements into seven classes. We also represent a technique to detect TSs affected by phase unwrapping errors and a reclassification part to detect stable points, which are incorrectly classified as moving points using the original method. Around 60 km2 of Catalunya were classified using Sentinel-1 images and a PSI technique. The proposed method classified 78359 PS TS. This study provided the spatial distribution of ground movement classes and detected several time series anomalies.
