DocumentCode
1762651
Title
Measuring Coseismic Displacements With Point-Like Targets Offset Tracking
Author
Xie Hu ; Teng Wang ; Mingsheng Liao
Author_Institution
State Key Lab. of Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China
Volume
11
Issue
1
fYear
2014
fDate
Jan. 2014
Firstpage
283
Lastpage
287
Abstract
Offset tracking is an important complement to measure large ground displacements in both azimuth and range dimensions where synthetic aperture radar (SAR) interferometry is unfeasible. Subpixel offsets can be obtained by searching for the cross-correlation peak calculated from the match patches uniformly distributed on two SAR images. However, it has its limitations, including redundant computation and incorrect estimations on decorrelated patches. In this letter, we propose a simple strategy that performs offset tracking on detected point-like targets (PT). We first detect image patches within bright PT by using a sinc-like template from a single SAR image and then perform offset tracking on them to obtain the pixel shifts. Compared with the standard method, the application on the 2010 M 7.2 El Mayor-Cucapah earthquake shows that the proposed PT offset tracking can significantly increase the cross-correlation and thus result in both efficiency and reliability improvements.
Keywords
displacement measurement; earthquakes; geophysical techniques; ground penetrating radar; image sensors; radar imaging; radar interferometry; radar tracking; reliability; synthetic aperture radar; target tracking; 2010 M 7.2 El Mayor-Cucapah earthquake; PT; SAR interferometry; coseismic displacement measurement; cross-correlation peak calculation; decorrelated patch estimation; ground displacement measurement; image patch detection; point-like target offset tracking; point-like targets detection; reliability improvement; sinc-like template; single SAR imaging; synthetic aperture radar interferometry; Offset tracking; point-like targets; synthetic aperture radar interferometry (InSAR);
fLanguage
English
Journal_Title
Geoscience and Remote Sensing Letters, IEEE
Publisher
ieee
ISSN
1545-598X
Type
jour
DOI
10.1109/LGRS.2013.2256104
Filename
6529097
Link To Document