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. 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. 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. Comparisons with four existing classical methods show the proposed method performs well in seam elimination

and it is suitable for UAV image rapid processing.