Urban damage mapping using scattering mechanism investigation technique for fully polarimetric SAR data

Si Wei Chen, Yong Zhen Li, Xue Song Wang, Christian N. Koyama, Motoyuki Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mapping of the urban damage levels with synthetic aperture radar (SAR) is still challenging. Fully polarimetric SAR (PolSAR) has the potential to identify the type of scattering mechanism changes induced by urban damage. In radar polarimetry, dominant double-bounce scattering mechanism in urban areas is primarily induced by the ground-wall structures. Thereby, within an urban patch, the reduction of the dominant double-bounce scattering mechanism reflects the urban damage level in terms of destroyed ground-wall structures, which is the basis of this study. Based on our previous study, the proposed polarimetric index is further investigated. A rapid urban damage mapping technique including mainly two steps of urban area extraction and damage level index estimation is proposed. The 3.11 East Japan Earthquake and Tsunami is adopted as the study case using multi-temporal ALOS/PALSAR PolSAR data. Experimental studies demonstrate that the estimated damage levels are closely consistent to the ground-truth.

Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3790-3793
Number of pages4
Volume2015-November
ISBN (Print)9781479979295
DOIs
Publication statusPublished - 2015 Nov 10
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 2015 Jul 262015 Jul 31

Other

OtherIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
CountryItaly
CityMilan
Period15/7/2615/7/31

Keywords

  • damage mapping
  • earthquake
  • radar polarimetry
  • scattering mechanism
  • Synthetic aperture radar (SAR)
  • tsunami

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)
  • Computer Science Applications

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