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Proceedings Paper

Improved geometrical SAR image registration based on elevation correction
Author(s): Bendui Gan; Anxi Yu; Zaoyu Sun; Zhen Dong
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Paper Abstract

Accurate co-registration of SAR image is a crucial step in interferometry SAR (InSAR) processing, and lower registration accuracy will lead to more interferometry phase error. The most commonly used is 2-D polynomial function registration method (2-DR), which is simple and works well in most conditions. But in the case of long baselines and complex terrain scene, (2-DR) can not meet the precision requirements. The DEM-assisted geometrical SAR image registration method (GeoR), which use the external DEM and orbit data to calculate offsets, can theoretically achieve an ideal precision for any baseline and terrain. In GeoR, corresponding elevation value of each pixel in the master image needs to extracted from the external DEM. Unfortunately, there are errors in the DEM data and the orbit data, which often result in approximate horizontal shift error and mismatch between DEM and SAR image, caused low precision elevation value extraction and eventually degrade the registration performance. In this paper, the influences of DEM error and orbital error in elevation value extraction are firstly analyzed, and then an improved geometrical SAR image registration method based on elevation correction (I-GeoR) is proposed. In elevation correction, Elevation value in DEM can be correctly assigned to each pixel of the image, which is achieved by deformation extraction that based on SAR image simulation. Finally, two ALOS-PALSAR images are processed to vaidate the new method. The result shows that I-GeoR can effectively correct the elevation and has a higher registration precision.

Paper Details

Date Published: 9 August 2018
PDF: 8 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108062I (9 August 2018); doi: 10.1117/12.2502956
Show Author Affiliations
Bendui Gan, National Univ. of Defense Technology (China)
Anxi Yu, National Univ. of Defense Technology (China)
Zaoyu Sun, National Univ. of Defense Technology (China)
Zhen Dong, National Univ. of Defense Technology (China)

Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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