Connectivity Approach for Detecting Phase Integration Errors in PSInSAR

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Many PSInSAR algorithms are based on the phase difference of connected PSs, which are usually spatially integrated to recover the deformation gradients with respect to a common reference point. In the presence of noise this can lead to errors propagating throughout the whole PS network. In our work we adapt the concept of connectivity originally proposed in the DInSAR context as a way to estimate the quality of the phase integration for each PS. We simulate PS networks under a variety of noise conditions, and find that connectivity is consistently correlated with integration errors, and provides complementary information compared to local quality parameters such as temporal coherence. We discuss the use of connectivity to optimize the selection of spatial references, and to discard measurements, which are more likely to be affected by integration errors. Finally, we validate our methodology on a real data set from TerraSAR-X covering the greater Copenhagen area.
Original languageEnglish
Article number5209909
JournalIEEE Transactions on Geoscience and Remote Sensing
Number of pages9
Publication statusPublished - 2024


  • Connectivity
  • Ground deformation
  • Interferometry
  • Multitemporal InSAR
  • Persistent scatterer (PS)
  • PS interferometric SAR (PSInSAR)
  • Remote sensing


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