一种SPOT影像参数动态筛选的最小二乘匹配方法

A Least Squares Mathching Method with Parameters Dynamic Filtering for Spot Data

本文从参数估计的角度出发,把最小二乘影像匹配(LSM)问题看作具有附加系统参数的平差问题。文中在理论研究和实验分析的基础上,指出附加参数选择是影响LSM匹配质量的主要因素之一。因此,文中提出了基于假设检验的参数动态筛选LSM 算法。通过SPOT影像匹配实验比较,证实了参数动态筛选对改善LSM质量有效。

From the view point of the parameter estimation, the model of the least squaresmatchgin (LSM) can be taken as an adjustment model with additional parameters. Thus theproblems which exist in the LSM could be analyzed and solved by the theory of additional pa-rameter adjustment. Based on the theoritical researchs and experimental analysis, the additionalparameter is one of the most important factors to influence the qualities of LSM. In this pa-per, a new algorithm called PDFM is proposed,which the parameters(P) dynamic (D) filtering(F) technique is incorporated in the LSM. The obtained experiment results shows, that thePDFM algorithm improves the qualities of LSM at accuracy,speed,iteration times and pull-inrange.