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

作　　者：唐毅[1,2] 潘杨[1,2] 郜明[3] 易虹辰 韦安琦 TANG Yi;PAN Yang;GAO Ming;YI Hong-chen;WEI An-qi(School of Environmental Science and Engineering,Suzhou University of Science and Technology,Suzhou 215009,China;National and Local Joint Engineering Laboratory of Urban Domestic Sewage Recycling Technology,Suzhou University of Science and Technology,Suzhou 215009,China;School of Mechanical Engineering,Sichuan University,Chengdu 610065,China)

机构地区：[1]苏州科技大学环境科学与工程学院,江苏苏州215009 [2]苏州科技大学城市生活污水资源化利用技术国家地方联合工程实验室,江苏苏州215009 [3]四川大学机械工程学院,成都610065

出　　处：《吉林大学学报（工学版）》2024年第7期2080-2085,共6页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(41801148).

摘　　要：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.

关 键 词：仿射不变算子 无人机 多光谱影像 图像匹配 特征点提取 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]