摘要
针对目前无人机基于景象匹配对目标定位精度低与速度慢,以及依赖任务设备的问题,提出了一种基于景象匹配的航摄影像二维定位方法。首先进行任务规划,来获取某固定区域的航摄影像。然后基于特征匹配算法来完成景象匹配。最后提出坐标解算及底图生成方法,来实现航摄影像二维定位。实验结果表明该方法提高了定位精度与速度,减小了对任务设备的依赖。因此,所提方法是一种有效的基于景象匹配的目标定位方法。
Aiming at the problems of low precision,slow speed and dependence on mission equipment of unmanned aerial vehicle target location based on scene matching,a new method of two-dimensional aerial photography image location based on scene matching is proposed.First of all,it carries out mission planning to obtain aerial photographs of a fixed area.Then the scene matching is completed based on the feature matching algorithm.Finally,it puts forward the method of coordinate solution and base map generation to realize the two-dimensional positioning of aerial photography images.The experimental results show that this method can improve the positioning accuracy and speed and reduce the dependence on the task equipment.Therefore,the proposed method is an effective two-dimensional location of aerial photography based on scene matching.
作者
孙世宇
张岩
李建增
胡永江
SUN Shiyu;ZHANG Yan;LI Jianzeng;HU Yongjiang(Department of Unmanned Aerial Vehicle,Army Engineering University,Shijiazhuang 050003,China)
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2018年第11期2415-2419,共5页
Systems Engineering and Electronics
基金
国家自然科学基金(51307183)资助课题
关键词
景象匹配
底图
特征匹配
随机抽样一致性
无人机
scene matching
base map
feature registration
random sample consensus
unmanned aerial vehicle
