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地形高程自适应的星载InSAR图像配准方法

张金强 索志勇 李真芳 保铮

西安电子科技大学学报(自然科学版)2018,Vol.45Issue(2):31-36,6.
西安电子科技大学学报(自然科学版)2018,Vol.45Issue(2):31-36,6.DOI:10.3969/j.issn.1001-2400.2018.02.006

地形高程自适应的星载InSAR图像配准方法

Terrain elevation adaptive method for spaceborne InSAR coregistration

张金强 1索志勇 1李真芳 1保铮1

作者信息

  • 1. 西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071
  • 折叠

摘要

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.

关键词

星载干涉合成孔径雷达/图像配准/地形高程/系数估计

Key words

spaceborne interferometric synthetic aperture radar (InSAR)/image coregistration/terrain elevation/coefficient estimation

分类

信息技术与安全科学

引用本文复制引用

张金强,索志勇,李真芳,保铮..地形高程自适应的星载InSAR图像配准方法[J].西安电子科技大学学报(自然科学版),2018,45(2):31-36,6.

基金项目

国家自然科学基金资助项目(61671355,61601298) (61671355,61601298)

西安电子科技大学学报(自然科学版)

OA北大核心CSCDCSTPCD

1001-2400

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