Parameter Optimization for Detecting Seismic Ground Deformation from Airborne SAR Images

Koichi Ito; Haruki Imai; Takafumi Aoki; Jyunpei Uemoto

doi:10.1109/IGARSS39084.2020.9324586

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 proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	320-323
Number of pages	4
ISBN (Electronic)	9781728163741
DOIs	https://doi.org/10.1109/IGARSS39084.2020.9324586
Publication status	Published - 2020 Sept 26
Event	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Virtual, Waikoloa, United States Duration: 2020 Sept 26 → 2020 Oct 2

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference	2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020
Country/Territory	United States
City	Virtual, Waikoloa
Period	20/9/26 → 20/10/2

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)

Access to Document

10.1109/IGARSS39084.2020.9324586

Cite this

Ito, K., Imai, H., Aoki, T., & Uemoto, J. (2020). Parameter Optimization for Detecting Seismic Ground Deformation from Airborne SAR Images. In 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings (pp. 320-323). [9324586] (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS39084.2020.9324586

Parameter Optimization for Detecting Seismic Ground Deformation from Airborne SAR Images. / Ito, Koichi; Imai, Haruki; Aoki, Takafumi et al.

2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. p. 320-323 9324586 (International Geoscience and Remote Sensing Symposium (IGARSS)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ito, K, Imai, H, Aoki, T & Uemoto, J 2020, Parameter Optimization for Detecting Seismic Ground Deformation from Airborne SAR Images. in 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings., 9324586, International Geoscience and Remote Sensing Symposium (IGARSS), Institute of Electrical and Electronics Engineers Inc., pp. 320-323, 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020, Virtual, Waikoloa, United States, 20/9/26. https://doi.org/10.1109/IGARSS39084.2020.9324586

Ito K, Imai H, Aoki T, Uemoto J. Parameter Optimization for Detecting Seismic Ground Deformation from Airborne SAR Images. In 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2020. p. 320-323. 9324586. (International Geoscience and Remote Sensing Symposium (IGARSS)). doi: 10.1109/IGARSS39084.2020.9324586

Ito, Koichi ; Imai, Haruki ; Aoki, Takafumi et al. / Parameter Optimization for Detecting Seismic Ground Deformation from Airborne SAR Images. 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 320-323 (International Geoscience and Remote Sensing Symposium (IGARSS)).

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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.",

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AB - 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.

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Parameter Optimization for Detecting Seismic Ground Deformation from Airborne SAR Images

Abstract

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Keywords

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