EXTRACTING AND EVALUATING CLUSTERS IN DINSAR DEFORMATION DATA ON SINGLE BUILDINGS
In the past two decades persistent scatterer interferometry (PSI) has become a well understood and powerful method to monitor the deformations of man-made structures. PSI can derive displacement histories of thousands of scattered points on a single building with accuracy of a few millimetre per yea...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2020-08-01
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| Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2020/157/2020/isprs-annals-V-3-2020-157-2020.pdf |
| _version_ | 1818500525683900416 |
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| author | P. J. Schneider R. Khamis U. Soergel |
| author_facet | P. J. Schneider R. Khamis U. Soergel |
| author_sort | P. J. Schneider |
| collection | DOAJ |
| description | In the past two decades persistent scatterer interferometry (PSI) has become a well understood and powerful method to monitor the deformations of man-made structures. PSI can derive displacement histories of thousands of scattered points on a single building with accuracy of a few millimetre per year, by analysing space-borne SAR data. In this paper, we present a method to cluster PS points on a single building into segments which show the same deformation behavior. The spatial distribution of those clusters gives an insight into the structural behavior of a building. We use dimensionality reduction to visualize the clusters in the deformation space. The comparison of our extracted displacement patterns with ground truth data from precise levelling and 3D tachymetry confirms the plausibility of our remote sensing method. |
| first_indexed | 2024-12-10T20:43:55Z |
| format | Article |
| id | doaj.art-2c62204622fa44cd9ade2d3cc9bbd0de |
| institution | Directory Open Access Journal |
| issn | 2194-9042 2194-9050 |
| language | English |
| last_indexed | 2024-12-10T20:43:55Z |
| publishDate | 2020-08-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-2c62204622fa44cd9ade2d3cc9bbd0de2022-12-22T01:34:18ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502020-08-01V-3-202015716310.5194/isprs-annals-V-3-2020-157-2020EXTRACTING AND EVALUATING CLUSTERS IN DINSAR DEFORMATION DATA ON SINGLE BUILDINGSP. J. Schneider0R. Khamis1U. Soergel2Institute for Photogrammetry (ifp), University of Stuttgart, GermanyDeutsche Bahn AG, GermanyInstitute for Photogrammetry (ifp), University of Stuttgart, GermanyIn the past two decades persistent scatterer interferometry (PSI) has become a well understood and powerful method to monitor the deformations of man-made structures. PSI can derive displacement histories of thousands of scattered points on a single building with accuracy of a few millimetre per year, by analysing space-borne SAR data. In this paper, we present a method to cluster PS points on a single building into segments which show the same deformation behavior. The spatial distribution of those clusters gives an insight into the structural behavior of a building. We use dimensionality reduction to visualize the clusters in the deformation space. The comparison of our extracted displacement patterns with ground truth data from precise levelling and 3D tachymetry confirms the plausibility of our remote sensing method.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2020/157/2020/isprs-annals-V-3-2020-157-2020.pdf |
| spellingShingle | P. J. Schneider R. Khamis U. Soergel EXTRACTING AND EVALUATING CLUSTERS IN DINSAR DEFORMATION DATA ON SINGLE BUILDINGS ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | EXTRACTING AND EVALUATING CLUSTERS IN DINSAR DEFORMATION DATA ON SINGLE BUILDINGS |
| title_full | EXTRACTING AND EVALUATING CLUSTERS IN DINSAR DEFORMATION DATA ON SINGLE BUILDINGS |
| title_fullStr | EXTRACTING AND EVALUATING CLUSTERS IN DINSAR DEFORMATION DATA ON SINGLE BUILDINGS |
| title_full_unstemmed | EXTRACTING AND EVALUATING CLUSTERS IN DINSAR DEFORMATION DATA ON SINGLE BUILDINGS |
| title_short | EXTRACTING AND EVALUATING CLUSTERS IN DINSAR DEFORMATION DATA ON SINGLE BUILDINGS |
| title_sort | extracting and evaluating clusters in dinsar deformation data on single buildings |
| url | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2020/157/2020/isprs-annals-V-3-2020-157-2020.pdf |
| work_keys_str_mv | AT pjschneider extractingandevaluatingclustersindinsardeformationdataonsinglebuildings AT rkhamis extractingandevaluatingclustersindinsardeformationdataonsinglebuildings AT usoergel extractingandevaluatingclustersindinsardeformationdataonsinglebuildings |