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    Improved SAR Image Coregistration Using Pixel-Offset Series

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    Wang_Coreg_IEEE14_MS.pdf
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    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Wang, Teng cc
    Jonsson, Sigurjon cc
    Hanssen, Ramon F.
    KAUST Department
    Crustal Deformation and InSAR Group
    Earth Science and Engineering Program
    Physical Science and Engineering (PSE) Division
    Date
    2014-01-31
    Online Publication Date
    2014-01-31
    Print Publication Date
    2014-09
    Permanent link to this record
    http://hdl.handle.net/10754/556642
    
    Metadata
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    Abstract
    Synthetic aperture radar (SAR) image coregistration is a key procedure before interferometric SAR (InSAR) time-series analysis can be started. However, many geophysical data sets suffer from severe decorrelation problems due to a variety of reasons, making precise coregistration a nontrivial task. Here, we present a new strategy that uses a pixel-offset series of detected subimage patches dominated by point-like targets (PTs) to improve SAR image coregistrations. First, all potentially coherent image pairs are coregistered in a conventional way. In this step, we propose a coregistration quality index for each image to rank its relative “significance” within the data set and to select a reference image for the SAR data set. Then, a pixel-offset series of detected PTs is made from amplitude maps to improve the geometrical mapping functions. Finally, all images are resampled depending on the pixel offsets calculated from the updated geometrical mapping functions. We used images from a rural region near the North Anatolian Fault in eastern Turkey to test the proposed method, and clear coregistration improvements were found based on amplitude stability. This enhanced the fact that the coregistration strategy should therefore lead to improved InSAR time-series analysis results.
    Citation
    Improved SAR Image Coregistration Using Pixel-Offset Series 2014, 11 (9):1465 IEEE Geoscience and Remote Sensing Letters
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Geoscience and Remote Sensing Letters
    DOI
    10.1109/LGRS.2013.2295429
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6722906
    ae974a485f413a2113503eed53cd6c53
    10.1109/LGRS.2013.2295429
    Scopus Count
    Collections
    Articles; Physical Science and Engineering (PSE) Division; Earth Science and Engineering Program

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