Journal of Xidian University

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Terrain elevation adaptive method for spaceborne InSAR coregistration

ZHANG Jinqiang;SUO Zhiyong;LI Zhenfang;BAO Zheng   

  1. (National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China)
  • Received:2017-04-28 Online:2018-04-20 Published:2018-06-06

Abstract:

The shifts between master and slave images are influenced by the terrain elevation in the case of long baselines and/or rough topography for spaceborne interferometric synthetic aperture radar (InSAR). It is inaccurate to approximate the shifts using a two-dimensional (2-D) two-variable polynomial of a low degree. Furthermore, the performance of the method to estimate the polynomial coefficients using the shifts of control points is affected by the number and distribution of the control points greatly. To tackle the problems above, a terrain elevation adaptive reduced-dimension image coregistration method is proposed. The shifts are approximated by a 2-D three-variable polynomial of the first degree including the variable associated with the terrain elevation. The polynomial can pursuit the variations of the shifts with the terrain elevation and increase the precision of shift approximation. The first-order coefficients of the polynomial are calculated by the imaging parameters and orbital data of master and slave images, and two constants are estimated from the shifts of control points. The robustness of the coefficient estimation is improved. The precision and robustness of the proposed method are validated by data acquired by the TerraSAR-X.

Key words: spaceborne interferometric synthetic aperture radar (InSAR), image coregistration, terrain elevation, coefficient estimation