干涉合成孔径雷达复图像自动配准算法

An image automatic registration algorithm for interferometric synthetic aperture radar complex images

提出了一种基于曲线特征的干涉合成孔径雷达(InSAR)复图像对的自动配准算法.该算法借助于B-样条拟合特征曲线,利用BFGS拟牛顿法加速最小均方误差拟合,通过相干系数法实现了曲线段的匹配,采用最小二乘法计算仿射变换参数.基于实测数据的实验结果表明,该算法具有精度高、稳健性强和计算复杂性较小的特点.

An automatic InSAR image registration approach is presented based on the curve feature. The characteristic of this technique is its application of a series of algorithms, such as B-spline curve fitting, Quasi-Newton Method. correlation coefficient and Least square method, to achieve superior accuracy and efficiency. Experimental and comparison results confirm our method＇s validity.