摘要
无人机降低飞行高度以节省时间或扩展航程,会导致航片相幅减小、预测与真实位置重叠不足。为此,文章研究了基于卫星图像匹配的巡检无人机地面三维目标自动定位方法。首先获取无人机相机姿态数据,为后续处理提供基础;然后转换三维目标信息,提取三维目标特征,深度分析无人机图像;最后利用卫星图像匹配特征实现定位,精准匹配无人机与卫星图像,实现自动定位。实验证明,该方法定位性能优于对比方法,具有较高的准确性和稳定性。
The UAV reduces the flight altitude to save time or expand the range,resulting in the decrease of the aerial phase amplitude and insufficient predicted overlap with the real position.To this end,this paper studies the automatic 3 d target positioning method of inspection UAV based on satellite image matching.Firstly,UAV camera attitude data is acquired to provide the basis for subsequent processing;then convert 3 D target information,extract 3D target features and deeply analyze UAV images;finally,use satellite images to match the UAV and satellite images to achieve automatic positioning.The experiments show that the localization method is better than the comparison method and has high accuracy and stability.
作者
宋夏楠
宋庆敏
王继红
赵明举
邓炬鑫
SONG Xianan;SONG Qingmin;WANG Jihong;ZHAO Mingju;DENG Juxin(College of Electronic and Electrical Engineering,Zhengzhou University of Science and Technology,Zhengzhou 450064,China)
出处
《无线互联科技》
2024年第19期37-39,共3页
Wireless Internet Science and Technology
关键词
卫星图像匹配
巡检无人机
地面三维目标
目标定位
自动定位
satellite image matching
UAV inspection
ground 3D target
target positioning
automatic positioning
