在利用光学的遥感影象进行制图的过程中，由于受到获取遥感资料技术条件的限制，所获取的影象常常受到云层遮挡的影响，而造成局部地区信息丢失，针对此问题，提出了一种联合使用多传感器在不同时间段接收的影象，以消除云层遮挡影响的方法，该方法主要分为两个步骤，即首先是对云层覆盖地区不同时间的影象进行自动配准；然后对用来替换云层覆盖地区的影象进行辐射改正，以消除替换过程中出现的接缝，同时利用SPOT和TM影象进行了实验，实验结果表明该方法是有效的、可行的，能够较好地恢复云层遮挡地区的信息。

In the process of mapping using optical remote sensing images, due to the limit of the conditions obtaining the remote sensing data and the affect of weather, the obtained images often are covered by clouds, which causes the losing of the information in local area and affects the quality of image map in some degree. In this paper, a method is proposed by fusion of multi sensor images collected at different date to remove the affect due to cloud cover. It consists in two steps: firstly the auto registration is done around the region with clouds. In this step area based grey match is used to get tie point, and statistical relational matching is done iterative to adjust the initial match result more reliable. So the two image can be registrated local area with high accuracy according to the final matching points. Secondly the image with cloud is replaced automatically by the other sensor image which has been radiation corrected through histogram matching so as to prevent the false edge from emerging during image mosaicing. At last, the test that SPOT image with clouds is replaced by TM image is done. The result demonstrates that the proposed method is possible and valuable, and the information in cloud area is recovered properly.