中文摘要：

提出了一种基于线特征和SIFT点特征的多源遥感影像配准方法。该方法首先匹配待配准影像和参考影像中的线特征，利用匹配直线构建虚拟角点；其次，针对传统SIFT算法匹配多源遥感影像特征点存在的不足，采用线特征约束点特征的方法进行SIFT同名点对的提取；最后结合虚拟角点对及SIFT同名点对构建三角网进行小面元微分纠正。试验结果表明，本文方法能取得较高的配准精度。

英文摘要：

This paper proposes a multi-sensor image registration algorithm based on line fea- tures and sift points. Firstly, line features from reference image and image to be rectified are matched, and virtual corners are constructed on the basis of matched lines. Next, for the lack of traditional sift algorithm in multi-sensor image registration, sift control points are extracted by line constraining primitive matched sift points. Finally, virtual corners and SIFT control points are combined to construct TIN for tiny facet primitive rectifying. Experimental results show that the proposed algorithm has high registration accuracy.