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Atmospheric phase screen correction in ground-based SAR with PS technique.

Zhiwei Qiu1, Yuxiao Ma2, Xiantao Guo3

  • 1Earth Science and Engineering, Hohai University, Xikang Road 1, Nanjing, 210098 China ; Henan University of Urban Construction, Longxiang Avenue, New Urban District, Pingdingshan, 467036 China.

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Summary

Atmospheric effects in ground-based synthetic aperture radar (GBSAR) monitoring can be reduced using a new permanent scatterer technique. This method, applied to dam monitoring, shows improved accuracy over traditional plumb line data.

Keywords:
Atmosphere effectsGBSAR interferometryMonitoring structuresPermanent scatterers analysis

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Area of Science:

  • Geodesy and Geomatics
  • Remote Sensing Technology
  • Civil Engineering Infrastructure Monitoring

Background:

  • Ground-based synthetic aperture radar (GBSAR) interferometry is crucial for monitoring structures like bridges and dams.
  • Atmospheric effects significantly impact GBSAR interferometry accuracy, even at short ranges.
  • The permanent scatterer (PS) technique is a robust method for analyzing long SAR data series and achieving high precision.

Purpose of the Study:

  • To develop and validate an atmospheric correction algorithm for GBSAR interferometry using the permanent scatterer technique.
  • To assess the effectiveness of the developed algorithm in reducing atmospheric phase delays in real-world GBSAR data.
  • To compare the performance of the new method against traditional plumb line data for atmospheric correction.

Main Methods:

  • Development of a novel algorithm integrating the permanent scatterer technique with the GBSAR interferometric phase model.
  • Application of the algorithm to a GBSAR dataset acquired during a monitoring campaign at Geheyan Dam, China.
  • Quantitative analysis of atmospheric phase screen reduction and comparison with plumb line data.

Main Results:

  • The developed permanent scatterer-based algorithm effectively reduced atmospheric effects in GBSAR interferometry.
  • The method demonstrated superior performance in atmospheric correction compared to traditional plumb line data.
  • High-accuracy monitoring information was successfully extracted from the SAR data after correction.

Conclusions:

  • The permanent scatterer technique offers an effective solution for mitigating atmospheric disturbances in GBSAR monitoring.
  • This approach enhances the reliability and accuracy of structural health monitoring using GBSAR.
  • The developed algorithm provides a valuable tool for precise deformation analysis of critical infrastructure.