基于点特征的干涉合成孔径雷达(InSAR)复图像自动配准算法

 在基于点特征的遥感图像配准过程中，特征点的自动提取和准确匹配是影响配准精度的关键。本文提出了一种干涉合成孔径雷达(InSAR)复图像对的自动配准算法，利用特征点的高曲率结构设计了模板，完成了特征点检测；根据匹配点对之间距离相近的结论设计了匹配算法，进行了特征点对的匹配。文章首先通过边缘检测和模板相关提取特征点；其次根据提出的匹配算法建立点的对应关系；最后利用两步法完成复图像的亚像元级配准。实验结果表明，该算法具有较高的配准精度。

An Image Automatic Registration Method for InSAR Complex Images Based on Point Features

Detecting feature points automatically and accurate feature matching are the two crucial steps in InSAR image registration.In this paper,an automatic feature-b ased registration algorithm is presented.Two major steps are concentrated on fea ture detection and feature matching.In feature detection, the templates are desi gned to extract feature points by utilizing the high curvature property.In featu re matching the process of the feature matching is completed by using the matchi ng algorithm proposed according to the conclusion of the near distance.With edge detection and template correlation, the feature points in both images are extra cted.After the corresponding relations are established by the proposed matching algorithm, a two-step method is applied to registering with sub-pixel accuracy .Experimental result shows that the proposed method can achieve high accuracy an d less computational complexity.