DocumentCode
3024481
Title
Estimation of three-dimensional crustal movements from mutli-temporal TerraSAR-X intensity images
Author
Wen Liu ; Yamazaki, Fumio ; Nonaka, Tomomi ; Sasagawa, T.
Author_Institution
Interdiscipl. Grad. Sch. of Sci. & Eng., Tokyo Inst. of Technol., Tokyo, Japan
fYear
2013
fDate
21-26 July 2013
Firstpage
680
Lastpage
683
Abstract
A method for capturing the two-dimensional (2D) surface movements from two temporal TerraSAR-X (TSX) intensity images has been proposed by the authors in previous research. However, it is impossible to detect the three-dimensional (3D) actual displacement from one pair of TSX images. Hence, three pairs of TSX images taken in ascending and descending paths were used to estimate 3D crustal movements in this study. First, the 2D crustal movements due to the 2011 Tohoku earthquake were detected from the three sets respectively. The relationship between the 3D actual displacement and 2D converted movement in SAR images was derived according to the observation model and shooting condition of the SAR sensor. Then the absolute 3D movements were estimated by the combination of the detected 2D movements that occurred within a short time interval. The results were verified by the GEONET observation records.
Keywords
Earth crust; earthquakes; geomorphology; radar imaging; remote sensing by radar; synthetic aperture radar; 2D converted movement; 2D surface movements; 3D actual displacement; 3D crustal movements; China; GEONET observation records; SAR sensor; Tohoku Earthquake; absolute 3D movements; ascending path; descending path; multitemporal TerraSAR-X intensity images; observation model; shooting condition; Buildings; Earthquakes; Estimation; Global Positioning System; Regression analysis; Three-dimensional displays; Vectors; Earthquake; geophysics; image processing; synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6721248
Filename
6721248
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