无人机遥感对京沪高铁的三维场应用  

Application of UAV Remote Sensing for the Beijing-Shanghai High-speed Rail Three-dimensional Field

作　　者：李红林[1] 李玉霞[1] 顾行发[1] 张欢[1] 

机构地区：[1]电子科技大学自动化工程学院,四川成都611731

出　　处：《矿山测量》2011年第4期46-48,51,共4页Mine Surveying

摘　　要：无人机低空遥感系统具有低成本、机动灵活等优点,能够低空低速飞行,在小区域内快速获取高质量遥感影像,可以作为国家航空遥感监测体系的重要补充。文中基于采用尺度不变特征转换(SIFT)算法进行无人机影像之间特征点的识别、提取和匹配,根据无人机拍摄时的POS信息进行点的三维场可视化模拟,从而实现对某一路段京沪高速铁路周围的地形分析,以便于高速铁路周围地形变形监测检测。UAV remote sensing system with the feature of low cost、flexible etc.can fly low-speed,quickly get high quality remote sensing images in the small area,and may be used as an important complement system for the national aeronautics and remote monitoring system.In this paper,the author carries out the recognition,extraction and match of feature points between the UAV image based on the use of Scale Invariant Feature Transform(SIFT) algorithm,and then accords to the visualization simulated of POS information point in three-dimensional field by UAV shooting,to achieve the analysis for a particular section of railroad land-around terrain and the monitoring for high-speed rail surrounding terrain deformation.

关 键 词：无人机 SIFT算法 POS 三维场可视化 

分 类 号：P237[天文地球—摄影测量与遥感]