无人机影像特征匹配算法比较研究

Comparative Research on UAV Image Feature Matching Algorithm

影像匹配是无人机影像拼接工作的重要步骤,是影响无人机影像处理成果质量的重要因素。为此,本文深入研究了无人机影像拼接和特征匹配的原理,并提出将SURF算子和ORB算子应用于无人机影像匹配,对两种算法进行了比较。实验表明,SURF算子提取的特征点相比ORB算子,分布更加分散;匹配速度方面,ORB算子的提取速度更快。

The image matching is an important step in UAV image splicing.And it is an important factor that affects the quality of UAV image.Thus,the principle of image mosaic and feature matching of UAV was studied in the paper.It was brought forward an algorithm to put SURF and ORB into UAV image matching.Compared with the algorithms,it was found that the feature points extracted by SURF algorithm are more dispersed than ORB algorithm.The ORB algorithm is extracted faster in terms of matching speed.