红外技术2017，Vol.39Issue(6)：529-534,6.
基于图像配准的无人机目标精确定位算法
UAV Reconnaissance Images Accurate Targeting Method Based on Image Registration
摘要
Abstract
In order to meet the needs of the integrated reconnaissance/strike UAV precision attack, and to overcome low accuracy and worse real-time performance of these existing target localization algorithms, this paper proposes a UAV accurate positioning algorithm based on image registration, which consists of two parts: feature point detection and target accurate positioning. First, the feature point detection algo-rithm based on lateral inhibition competition is used to detect the local image feature points; and then the image registration algorithm of local information is applied to complete the work of local image precise registration, ultimately achieving the goal of high-precision positioning of the targets. The experiments show that the positioning accuracy of this algorithm can reach 0.21m, which can meet the target informa-tion security needs during combat.关键词
无人机侦察图像/目标定位/特征点检测/侧抑制竞争/图像配准Key words
UAV reconnaissance image/target orientation/feature point detection/lateral inhibition competition/image registration分类
信息技术与安全科学引用本文复制引用
杨帅,程红,李婷,赵鹤..基于图像配准的无人机目标精确定位算法[J].红外技术,2017,39(6):529-534,6.基金项目
国家自然科学基金(61301233). （61301233）
