Improved SAR Image Coregistration Using Pixel-Offset Series

Teng Wang, Sigurjon Jonsson, Ramon F. Hanssen

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

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.
Original languageEnglish (US)
Pages (from-to)1465-1469
Number of pages5
JournalIEEE Geoscience and Remote Sensing Letters
Volume11
Issue number9
DOIs
StatePublished - Jan 31 2014

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