@inproceedings{e2be8c40d9b14699bf058becc72cfc49,
title = "Parameter Optimization for Detecting Seismic Ground Deformation from Airborne SAR Images",
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.",
keywords = "airborne SAR, bundle adjustment, image matching, phase-only correlation, seismic ground deformation",
author = "Koichi Ito and Haruki Imai and Takafumi Aoki and Jyunpei Uemoto",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 ; Conference date: 26-09-2020 Through 02-10-2020",
year = "2020",
month = sep,
day = "26",
doi = "10.1109/IGARSS39084.2020.9324586",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "320--323",
booktitle = "2020 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2020 - Proceedings",
address = "United States",
}