利用Voronoi图辅助星载干涉雷达配准

A Space-Borne InSAR Image Registration by Aided by a Voronoi Diagram

干涉雷达配准过程中,像对间的变换模型可以通过有理多项式进行拟合,参数的解算需要均匀分布的高精度联系点,传统算法或者只重视联系点的权重,或者只考虑联系点的分布,极大地降低了多项式拟合的精度。提出一种兼顾联系点权重与分布的Voronoi图辅助配准算法,把该算法应用于中国西部某地区CosmosSkymed-1/2X波段干涉数据的处理。实验表明,相对于现有方法,该算法可以提高匹配成功率,得到更高的相关系数,获得分布更均匀的联系点,从而解算出精度更高的变换参数。

In the InSAR co-registration procedure,the transform model between images in image pair can be fitted by the rational polynomial,and model parameters can be inverted by tie points at high accuracy and uniform distribution.However,traditional algorithms consider neither the importance of tie points or take into account the spacial distribution of tie points,which reduces the polynomial fitting accuracy.This paper proposes a Voronoi diagram based co-registration algorithm.It takes into account both weight and distribution of tie points.The algorithm was applied to process Xband interferometry images acquired by the Cosmos-Skymed-1/2satellite from somewhere in the west China.Compared to traditional methods,tests show that the Voronoi diagram based algorithm improves the correct matching ratio,acquires tie points at higher coherence with more uniform spatial distribution,thus achieving transform parameters at higher precision.