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Building damage mapping based on Touzi decomposition using quad-polarimetric ALOS PALSAR data

  • Shan Liu
  • Fengli ZhangEmail author
  • Shiying Wei
  • Qingbo Liu
  • Na Liu
  • Yun Shao
  • Steven J. Burian
Research Article
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Abstract

Building damage assessment is of great significance to disaster monitoring. Polarimetric Synthetic Aperture Radar (SAR) can record the polarization scattering measurement matrix of ground objects and obtain more abundant ground object information, meaning that they can be used for assessing damage to buildings. In this paper, a new approach is proposed to assess building damage using the Touzi incoherent decomposition and SAR-based characteristics of buildings before and after damage. The March 11th, 2011 earthquake that struck the coast of northeast Japan serves as the demonstration of the technique using quad-polarimetric ALOS PALSAR data acquired before and after the disaster. The analysis shows that after the buildings are damaged, there is a clear decrease in the αs1 (the dominant scattering-type magnitude) components and the degree of this reduction corresponds to the degree of building damage. This means that the αs1 components obtained by Touzi decomposition can effectively reflect the degree of building damage. On this basis, a model based on Touzi decomposition was established to evaluate the degree of damage to buildings, and the accuracy of the model was validated using high-resolution optical data acquired before and after the earthquake. The experimental results show that Touzi decomposition can be effectively used for damage assessment mapping in built-up areas.

Keywords

Touzi decomposition quad-polarization SAR buildings damage disaster management 

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Notes

Acknowledgements

This research was jointly supported by the National Key Research and Development Program of China (Nos. 2016YFB0502504 and 2016YFB0502500), the National Natural Science Foundation of China (Grant Nos. 41671359 and 61471358), the ALOS Research Program (No. PI1404), and the TanDEM Research Program (No. OTHER6984). In addition, the authors would like to thank the anonymous reviewers for their constructive comments and suggestions.

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Copyright information

© Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020

Authors and Affiliations

  • Shan Liu
    • 1
    • 2
    • 3
  • Fengli Zhang
    • 1
    • 2
    • 3
    Email author
  • Shiying Wei
    • 4
  • Qingbo Liu
    • 1
    • 2
    • 3
  • Na Liu
    • 1
    • 2
    • 3
  • Yun Shao
    • 1
    • 2
    • 3
  • Steven J. Burian
    • 5
  1. 1.Institute of Remote Sensing and Digital Earth Chinese Academy of SciencesBeijingChina
  2. 2.University of Chinese Academy of SciencesBeijingChina
  3. 3.Laboratory of Target Microwave PropertiesDeqing Academy of Satellite ApplicationsHuzhouChina
  4. 4.Beijing University of Civil Engineering and ArchitectureBeijingChina
  5. 5.Department of Civil and Environmental EngineeringUniversity of UtahSalt Lake CityUSA

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