图像配准是多传感器图像融合研究中的一项关键技术。多传感器图像特别是波段相距较远的相

关性较小的图像，要实现图像配准存在很大的困难。对于能够用仿射变换模型来描述的图像，图像之间比较

明显的特征是各个物体之间的边缘．该文研究利用小波变换的方法提取图像的边缘，并对边缘图像作交互方

差分析，搜索出最佳交互方差的配准参数。通过对SPOT和TM图像的处理，达到了精度较高的配准效

果．-Image registration is a key technology in the study of the multi-sensor image fusion. Band distant correlation smaller image, to achieve image registration, there are great difficulties in multi-sensor image. For affine transformation model to describe the image, the more obvious features in the image between the edge between the respective objects. This paper studies the use of wavelet transform to extract image edge, and the edge of the image for interactive analysis of variance, and search out the best interactive variance of the registration parameters. SPOT and TM image processing, to achieve a higher accuracy with prospective effect.