基于仿射不变算子的无人机多光谱影像匹配算法

Multi spectral image matching algorithm of unmanned aerial vehicle based on affine invariant operator

针对传统的无人机多光谱影像匹配算法存在匹配精度不高、匹配准确度不高、整体效果不佳等问题,提出了一种基于仿射不变算子的无人机多光谱影像匹配算法。首先,通过直方图均衡方法对无人机多光谱影像进行增强处理并通过仿射不变算子提取无人机多光谱影像的仿射不变区域;其次,通过多尺度乘积LoG方法完成无人机多光谱影像角点检测及特征点提取;最后,使用形状描述算子描述影像特征点,并利用高斯加权距离算法完成最终的影像匹配。实验结果表明,本文方法的无人机多光谱影像匹配精确度更高、误差更小、整体效果更佳。

The traditional unmanned aerial vehicle(UAV)multispectral image matching algorithm has some problems,such as low matching accuracy,low matching accuracy,and poor overall effect.In order to solve the problems in traditional methods,a UAV multispectral image matching algorithm based on affine invariant operator is proposed.Firstly,the UAV multispectral image is enhanced by histogram equalization method,and the affine invariant region of the UAV multispectral image is extracted by affine invariant operator;Secondly,corner detection and feature point extraction of UAV multispectral image are completed by multi-scale product LoG method;Finally,the shape description operator is used to describe the image feature points,and the Gaussian weighted distance algorithm is used to complete the final image matching.The experimental results show that the proposed method has higher accuracy,smaller error and better overall effect for UAV multispectral image matching.