Parameter Optimization for Detecting Seismic Ground Deformation from Airborne SAR Images

Koichi Ito, Haruki Imai, Takafumi Aoki, Jyunpei Uemoto

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

Abstract

Synthetic Aperture Radar (SAR) has been used to acquire images for analyzing geometrical properties of the ground surface. In this paper, we propose a method of detecting seismic ground deformation from the airborne SAR images with parameter optimization. The optimal parameters in ground deformation detection are estimated so as to minimize the reprojection error in the radar projection model based on the idea of bundle adjustment. We demonstrate the effectiveness of our method in detecting seismic ground deformation through the experiment using the airborne SAR images taken before and after the Kumamoto Earthquake in 2016.

Original languageEnglish
Title of host publication2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages320-323
Number of pages4
ISBN (Electronic)9781728163741
DOIs
Publication statusPublished - 2020 Sep 26
Event2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, United States
Duration: 2020 Sep 262020 Oct 2

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Country/TerritoryUnited States
CityVirtual, Waikoloa
Period20/9/2620/10/2

Keywords

  • airborne SAR
  • bundle adjustment
  • image matching
  • phase-only correlation
  • seismic ground deformation

ASJC Scopus subject areas

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

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