基于矩阵相似度的InSAR图像配准方法研究

图像配准是干涉合成孔径雷达成像的关键技术之一,相关系数是InSAR图像配准的重要指标。本文在分析研究常见相似性度量的基础上,研究了相关系数与矩阵相似度度量之间的关系,研究发现,矩阵相似度度量可涵盖多种图像配准数值指标,且其表达形式精炼,几何意义明确,便于把握图像配准的机理。此外,本文提出了一种加权矩阵相似度度量,并通过仿真数据进行了验证。

Study on image co-registration based on matrix similarity degree

Image co-registration is a key step in InSAR processing,while the correlation coefficient is an important index of co-registration.This paper discusses correlation coefficient,and studies the relationship of correlation coefficient and matrix similarity degree.The results show that matrix similarity degree is much terser and has a clearer geometric significance than correlation coefficient in image co-registration,and it is also an index of co-registration.Finally,a method computing the orient weighting matrix similarity degree is proposed.The paper verifies the algorithm with stimulant data and the result indicates the algorithm is valid.