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Traditional UAV remote sensing image automatic seamless stitching technology cannot accurately match the image information, resulting in a large number of gaps in the splicing result of the UAV remote sensing image, and the splicing effect is poor. Therefore, an automatic seamless stitching technology of UAV remote sensing images based on control point registration algorithm is proposed. Observe the drone image imaging principle, obtain the drone remote sensing image, and store the data in the form of image format file. Set the threshold, remove the control points whose ratio of the nearest neighbor and the next neighbor is greater than the threshold, standardize the image coordinate translation and zoom data, and completely eliminate the effect of coordinate transformation on image registration. Construct a similar transformation matrix, obtain a new set of control points, use a direct linear transformation algorithm to predict the transformation matrix, and obtain a linear solution. After coarse and fine registration, the overlapping areas of different images are determined. Search for the best stitching line and use the weighted average fusion method to eliminate the stitching seam, thus designing the stitching process. It can be seen from the experimental results that the technology can accurately match the image information, and the maximum resolution of the image is detected to be 1000*800, which has a good stitching effect.