颜色不变量与AKAZE特征相结合的无人机影像匹配算法

摘要

基于特征的影像匹配方法是无人机影像匹配中较为实用的一类方法.针对传统特征匹配方法主要以灰度影像作为输入量,难以利用颜色特征高效区分同名点这一问题,本文结合颜色不变量,设计了一种运用AKAZE特征的匹配算法,克服了传统无人机影像匹配忽略彩色信息的缺点;然后通过灰度级变换,使特征点数目大量减少而又不失其可靠性.试验表明,该方法不仅能够准确识别同名点,而且还提高了运行效率.%Image matching based on feature was one of practical methods in UAV image matching.Since the conventional methods of image registration mainly used gray image as input that it could not take color features into account to distinguish the identical point.To address this problem, this paper designed a matching algorithm combined color invariant with AKAZE feature, which overcame the shortcoming of ignoring color information in traditional UAV image matching.Then gray level transformation was utilized to reduce the number of feature points and remain its reliability.Experimental results demonstrate that the proposed method can find the identical point accurately and enhance the efficiency.