Abstract: Digital orthophoto map(DOM) splicing is an important means of obtaining complete feature information, but DOM splicing is susceptible to the phenomenon of splicing lines across the features in the process of color difference and projection difference. Therefore, in order to obtain high-quality splicing lines in panoramic images, we need to solve the problems of image splicing lines and geometric misalignment when multiple DOMs are spliced together, and propose an orthophoto splicing line search algorithm with an improved graph cut model. Firstly, the Gaussian image pyramid algorithm is applied for downsampling, ensuring the image scale remains undistored and smooth while improving DOM data processing efficiency; after that, the existing elevation information is utilized to incorporate the absolute elevation data for each pixel of different DOMs, and the cost constraint function is constructed by using the chromatic difference, gradient variation, and elevation gradient to obtain the inter-pixel cost information of the panoramic image; finally, the optimal solution for the panoramic image stitching line is obtained by using the principle of max-flow/min-cut. Finally, the optimal solution of the panoramic image splicing line is obtained by the principle of maximum flow/minimum cut. The results show that compared with the traditional algorithms, this algorithm can avoid the complete ground features under the premise of fast searching panoramic image splicing line, solve the geometric misalignment problem in the process of multiple DOM data splicing, and obtain an optimal splicing line that meets human visual perception requirements.