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Summary of Proposal MTH1743

TitleBridge deformation monitoring with archived TerraSAR-X Data Stacks
Investigator Liao, Mingsheng - Wuhan University, LIESMARS
Team Member
Dr. Zhang, Lu - Wuhan University, LIESMARS
Dr.-Ing. Balz, Timo - Wuhan University, LIESMARS
Summary

In the proposed project we implement a target-oriented approach for surface motion estimation. major parts of the urban area will be analyzed using traditional PSI technique. However, several objects, for example bridges, do not fit very well in the PSI processing scheme. We will test other techniques, like D-InSAR after APS removal, SBAS, and an extended PSI approach for these targets.

We divide bridges into the following categories: small bridges or elevated tracks, which should be rather coherent over time, beam bridges on stable pillars (our assumption is, that these have a greater dynamic movement than the mentioned small bridges. The largest and most dynamic bridges we call them incoherent bridges are mostly large suspension bridges with even greater movement and vibrations.

Once the bridges are detected, different, adjusted and modified PSI methods have to be employed for each construction type to account for the various motions and deformations. However, we will only focus on the PS-points which are directly correlated with the construction of the bridges itself to model the dynamics only for that bridge.

The key scientific issues are:

  • Analyzing the influence of the bridge type on the coherence and PSI processing and classifying bridges accordingly
  • Use a different PSI processing strategy depending on the type of bridge
  • Develop PSI processing strategies on bridges based on the semantic grouping of PS points
  • Extend standard PSI with an additional error source for bridge vibrations
  • Analyze the amount of additional observations necessary to deal with this additional error source

The project is funded by the National Natural Science Foundation of China (Grant No. 41021061) and by the Research Fund for the Doctoral Program of Higher Education of China (Grant No. 20110141110057).

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