测绘通报 ›› 2018, Vol. 0 ›› Issue (2): 83-88.doi: 10.13474/j.cnki.11-2246.2018.0049

• 行业观察 • 上一篇    下一篇

无人机遥感真正射影像高精度制图

刘宇, 郑新奇, 艾刚   

  1. 中国地质大学(北京)信息工程学院, 北京 100083
  • 收稿日期:2017-05-15 出版日期:2018-02-25 发布日期:2018-03-06
  • 通讯作者: 郑新奇。E-mail:zxqsd@126.com E-mail:zxqsd@126.com
  • 作者简介:刘宇(1992-),男,硕士生,主要研究方向为地理信息系统及应用。E-mail:921368971@qq.com
  • 基金资助:

    国土资源部公益性行业横向科研经费(201511010)

UAV Remote Sensing True Digital Orthophoto Map High Precision Mapping

LIU Yu, ZHENG Xinqi, AI Gang   

  1. Information Technology Institute, China University of Geoscience Beijing, Beijing 100083, China
  • Received:2017-05-15 Online:2018-02-25 Published:2018-03-06

摘要:

近年来无人机低空遥感技术不断发展,利用无人机影像生成的真正射影像(TDOM)在成图精度、制作流程方面仍有提高的空间。本文采用固定翼无人机和专业摄影相机采集影像,布设地面控制点,提出了利用运动恢复结构(SfM)和多视立体视觉(MVS)工作流来生成高精度数字表面模型(DSM)和数字正射影像(DOM)的方法;对遮蔽倾斜部分进行阴影检测、DSM修编和多视影像纹理补偿生成TDOM;最后用TDOM上随机分布的检查点进行精度检查,水平精度为3.3 cm,垂直精度为7.5 cm;消除了DOM中倾斜和阴影部分,使建筑物保持垂直视角,生成的满足1:500比例尺高精度并消除倾斜阴影的TDOM可用于农村宅基地确权、国土规划设计等领域。

关键词: 无人机, 运动恢复结构(SfM), 多视立体视觉(MVS), 数字表面模型, 真正射影像

Abstract:

In recent years,unmanned aerial vehicle(UAV) low-altitude remote sensing technology continues to develop,true digital orthophoto maps(TDOM) generated by UAV images still need to get improved in mapping accuracy and production process.In this paper,images were collected using a fixed-wing UAV and professional camera,and ground control points were laid out.A structure from motion (SfM) and multi view stereo (MVS) workflow was proposed to generate a high-precision digital surface model (DSM) and digital orthophoto map(DOM).We performed shadow tests to determine areas of tilt,perform DSM revision,and compensate for multi-view textures to produce a TDOM.Finally,we used random distributed checkpoints on the TDOM to verify its precision.The horizontal accuracy was 3.3 cm and the vertical accuracy was 7.5 cm.Tilt and shadow parts of the DOM were eliminated so that buildings maintained a vertical viewing angle.The generated TDOM meets precision requirements at the 1:500 scale. Therefore,it can be applied to rural homesteads to define land rights,land use planning,and other factors.

Key words: UAV, struct from motion, multi-view stereo, digital surface model, true digital orthophoto map

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