作　　者： (王勇）;

机构地区： 河南测绘职业学院

出　　处： 《测绘通报》 2017年第S1期55-58,共4页

摘　　要： 由于无人机数据具有不稳定、旋偏角大等特点,常规航测理论方法处理起来费时费力,无法满足应急救灾的需求,关于无人机数据处理工艺的研究具有重要意义。本文在充分分析无人机数据特点的基础上,提出了基于多视图三维重建技术的无人机数据处理工艺,并利用SIFT和RANSAC算法提高特征点提取精度和约束匹配精度。通过试验验证,证明了该处理工艺的有效性。 Because of unmanned aerial vehicle( UAV) data is not stable,large rotating angle etc,difficult and time-consuming to conventional aerial theory and method of processing,unable to meet the needs of emergency disaster relief,study of the UAV data processing technology is of great significance. In this paper,on the basis of fully analyzing the characteristics of the UAV data,the UAV data processing technology is proposed based on multiple view 3D reconstruction technology,and use the SIFT feature point extraction accuracy and RANSAC algorithm and constraint matching accuracy. Through the experiment,the results show the effectiveness of the treatment process.

关 键 词： 多视图 三维重建 无人机 数据处理