Abstract: The fast auto registration of remote sensing image is a very important problem.In this paper，local feature of image is utilized to realize the fast auto registration of remote sensing image.SIFT（Scale Invariant Feature Transform） local feature is chosen because of its scale invariance and the property of accurate key-point localization.The Euclidean distance between different SIFT feature vectors is defined as the measure of similarity to get the pre-matched key-point pairs.The affine transform model is used to realize the registration.In order to get the accurate affine transform parameter，the principal of affine transform error is used to get rid of mismatched key-point pairs from the pre-matched pairs.Lots of experiments are done and the result shows that the method proposed is effective，accurate and stable.

Key words: image registration, local feature, scale space, Scale Invariant Feature Transform（SIFT）

摘要： 针对图像处理领域中遥感图像的配准问题，提出一种基于图像局部特征的快速、自动配准方法。该方法选取具有良好尺度、旋转不变性以及精确特征点定位能力的SIFT局部特征，使用其特征向量间的欧氏距离作为相似性度量进行特征点匹配，并依据仿射变换误差准则去除奇异匹配特征点对，采用仿射变换的几何模型，实现了遥感图像的快速自动配准。实验结果表明，方法是高效、精确以及稳定的。

关键词: 图像配准, 局部特征, 尺度空间, 尺度不变特征转换（SIFT）