Abstract: In order to realize the real-time splicing of unmanned aerial vehicle images, the key technologies in aerial image stitching of an unmanned aerial vehicle are deeply researched in this paper. To solve the problem of time-consuming in the process of feature point matching, an image mosaic algorithm based on genetic algorithm optimization is proposed. Firstly, the SIFT algorithm is used to extract the feature points of the image. In the process of feature point matching, the Euclidean distance is used as the similarity measurement, and the genetic algorithm is used to optimize algorithm. Then the RANSAC algorithm is used to remove the mismatched points to complete image stitching. Experiments show that GA-SITF algorithm greatly reduces the matching time, which is proportional to the number of feature points, and at the same time improves the matching accuracy, thereby improving the real-time and robustness of image stitching.

Key words: unmanned vehicle images, real-time stitching, SIFT, Euclidean distance, GA