目的 针对无人机影像拼接缝消除困难的问题，提出一种基于Wallis匀光和距离权重增强的拼接缝消除算法。方法 首先，应用Wallis匀光消除亮度差异，给出Wallis参数设置方法。然后，提出一种基于空间相关性的距离权重分配方法，通过增强距离对权重的影响，对拼接缝处的局部纹理错位进行全局优化，起到渐入渐出的平滑过渡效果，消除纹理拼接缝。结果 选取7种不同类型影像对本文方法和其他4种经典算法进行对比，并对8条行带影像进行拼接，拼接结果光照均匀、无明显错位。结论 实验结果表明：本文算法能高效地消除由于曝光差异与几何变形引起的拼接缝，适用于无人机影像快速处理。

Objective This paper presents a novel method based on Wallis dodging and distance weight enhancement to improve the effectiveness and efficiency of unmanned aerial vehicle UAV image seam elimination, which includes brightness and texture seam elimination. Method In order to eliminate brightness seam, we designed a Wallis parameters setting method. Then, we propose a distance weight algorithm based on spatial correlation to eliminate the texture seam. Result To evaluate the method, we choose seven different types and eight lines UAV images as our experimental data. The algorithm will share local geometric dislocation with the whole overlap. Conclusion Comparisons with four existing classical methods show the proposed method performs well in seam elimination, and it is suitable for UAV image rapid processing.