地形高程自适应的星载InSAR图像配准方法

doi:10.3969/j.issn.1001-2400.2018.02.006

西安电子科技大学学报

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

(西安电子科技大学雷达信号处理国家重点实验室，陕西西安 710071)

收稿日期:2017-04-28 出版日期:2018-04-20 发布日期:2018-06-06
作者简介:张金强(1989-)，男，西安电子科技大学博士研究生，E-mail: zhjq0621@gmail.com
基金资助:
国家自然科学基金资助项目(61671355,61601298)

Terrain elevation adaptive method for spaceborne InSAR coregistration

ZHANG Jinqiang;SUO Zhiyong;LI Zhenfang;BAO Zheng

(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

摘要/Abstract

摘要：

星载干涉合成孔径雷达在基线较长或观测场景内地形复杂度较高时，地形高程对主辅图像间配准偏移量的影响不可忽略，利用二维二元低阶多项式模型拟合配准偏移量的精度较低，当利用控制点处配准偏移量估计多项式系数时，控制点数量和位置分布对估计精度的影响较大．针对上述问题，提出了地形高程自适应的降维图像配准方法．为了追踪主辅图像间配准偏移量随地形高程的变化，提高配准偏移量的拟合精度，提出了包含地形高程项的二维三元一阶多项式模型．利用主辅图像的成像参数和轨道数据计算多项式一次项系数，将需要利用控制点处配准偏移量估计的系数减少为两个常数项系数，提高了估计的稳健性．实测数据处理结果验证了该方法的精确性和稳健性．

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

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

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, 2018, 45(2): 31-36.

ZHANG Jinqiang;SUO Zhiyong;LI Zhenfang;BAO Zheng. Terrain elevation adaptive method for spaceborne InSAR coregistration[J]. Journal of Xidian University, 2018, 45(2): 31-36.

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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

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