ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-3-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 65–71, 2021
https://doi.org/10.5194/isprs-annals-V-3-2021-65-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 65–71, 2021
https://doi.org/10.5194/isprs-annals-V-3-2021-65-2021

  17 Jun 2021

17 Jun 2021

SEGMENTATION OF BUILDINGS BASED ON HIGH RESOLUTION PERSISTENT SCATTERER POINT CLOUDS

P. J. Schneider and U. Soergel P. J. Schneider and U. Soergel
  • Institute for Photogrammetry (ifp), University of Stuttgart, Germany

Keywords: Persistent Scatterer Interferometry (PSI), Synthetic Aperture Radar, Airborn Laser Scanning, Data Fusion, Clustering, Reverse Geocoding, Time Series Analysis, Building Information Modeling, Data Mining

Abstract. Integrating differential synthetic aperture radar measurements into building information modeling systems requires a mapping of these measurement points onto structural parts of the building. We use a reverse geocoding approach to project building footprints into slant-range geometry, which helps to accurately assign PS points to single building identities. By treating the deformation time series as points in a high dimensional feature space, we can use dimensional reduction and clustering techniques to extract clusters of points that show a similar movement behavior. We visualize these clusters by mapping them onto ground truth, using laser scanning point clouds. Our approach segments buildings into plausible parts.