中文摘要：

提出了一种基于虚拟匹配窗口的SIFT算法,通过构建虚拟匹配窗口,增大SIFT特征点之间的尺度相似性,提高了匹配的几率;并通过与最小二乘法和双线性内插法的结合完成自动配准。文中选取角度和尺度偏差较大的SPOT-5（P）与TM影像进行实验,结果表明,配准精度小于一个像素。

英文摘要：

The imaging mechanism,acquired angle and resolution between imagery acquired by diverse remote sensing sensors are different,which throws a big difficulty in the registration between them.The SIFT algorithm has had a successful application in aerial and video images presently;however,when applying it in registration between imagery acquired by different sensors or with big differences in resolution and angle,few matching couples are obtained.Aiming to this problem,a new algorithm named SIFT based on visual matching window is proposed.By constructing the visual matching window,the scale similarity and matching probability between SIFT features are increased,and then combined with least-square equation and bilinear interpolation method,the automatic registration is achieved.SPOT-5（P） and TM images,which have big differences in acquired angle and resolution,were tested,and the results show that the precision is lower than 1 pixel.