广东工业大学学报 ›› 2021, Vol. 38 ›› Issue (02): 48-52,82.doi: 10.12052/gdutxb.200116

• 综合研究 • 上一篇    下一篇

无人机测图的像控点布设优化及精度提升措施

孟瑞1, 廖开怀1, 吴希文1, 徐永明2   

  1. 1. 广东工业大学 建筑与城市规划学院, 广东 广州 510090;
    2. 中国铁路设计集团有限公司, 天津 300251
  • 收稿日期:2020-09-10 出版日期:2021-03-10 发布日期:2021-01-13
  • 通信作者: 廖开怀(1984-),男,副教授,博士,主要研究方向为城市地理与空间规划,E-mail:kaihuai121@126.com E-mail:kaihuai121@126.com
  • 作者简介:孟瑞(1996-)，女，硕士研究生，主要研究方向为遥感与无人机影像处理，E-mail：2111910025@mail2.gdut.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(41971196，41601170)；广东省本科高校教学质量与教学改革工程特色城乡规划学专业项目(粤教高函[2018]179号)；广州市科技创新计划项目(201804010258)

Optimization and Accuracy Improvement of Image Control Point Layout for UAV Mapping

Meng Rui1, Liao Kai-huai1, Alex Hay-Man Ng1, Xu Yong-ming2   

  1. 1. School of Architecture and Urban Planning, Guangdong University of Technology, Guangzhou 510090, China;
    2. China Railway Design Group Co., Ltd., Tianjin 300251, China
  • Received:2020-09-10 Online:2021-03-10 Published:2021-01-13

HTML

PDF (PC)

2817

摘要： 为探讨区域网法像控点在平原地区的优化布设方案, 利用高精度定位定向系统(Position and Orientation System, POS)数据辅助设计4种对比方案。研究表明: 各布设方案空三加密的平面精度相近, 高程精度差异明显, POS数据可显著提升高程精度; 本文所提基线间隔为10、航带间隔为4的区域网法像控点优化布设方案精度最优, 其平面和高程方向可分别满足1∶500及1∶2 000比例尺测图要求。

关键词: 无人机, 摄影测量, 空三加密, 像控点布设, 精度分析

Abstract: Four schemes of image control points are investigated under the assistance of high-precision POS data to explore the optimal layout of image control points in the plain terrain that meets the standard tolerance requirements. The results show plane accuracies in the aerial triangulation of the four schemes are similar, but elevation accuracies are significantly different. POS data-assisted solution can significantly improve the elevation accuracy. Through a comparative analysis, it is found that image control points with the number of 10 baseline intervals and 4 airline intervals is the best optimal layout, when its plane accuracy can meet the requirements of 1∶500 scale mapping and elevation accuracy can meet the requirements of 1∶2000 scale mapping.

Key words: unmanned aerial vehicle (UAV), oblique photography, aerial triangulation, the layout of image control point, accuracy analysis

中图分类号: 

  • V279
[1] 李德仁, 李明. 无人机遥感系统的研究进展与应用前景[J]. 武汉大学学报(信息科学版), 2014, 39(5): 505-513.
LI D R, LI M. Research advance and application prospect of unmanned aerial vehicle remote sensing system [J]. Geomatics and Information Science of Wuhan University., 2014, 39(5): 505-513.
[2] 余俊鹏, 何炽荣. GPS-RTK辅助近景摄影测量光束法平差及精度分析[J]. 广东工业大学学报, 2017, 34(6): 73-77.
YU J P, HE C R. An accuracy analysis of GPS-RTK assisted close-range photogrammetric bundle adjustment [J]. Journal of Guangdong University of Technology, 2017, 34(6): 73-77.
[3] 刘俊楠, 刘海砚, 陈晓慧, 等. 测绘领域研究热点可视化分析[J]. 科学技术与工程, 2019, 19(32): 43-51.
LIU J N, LIU H Y, CHEN X H, et al. Visual analysis of hotspots in the field of surveying and mapping [J]. Science Technology and Engineering, 2019, 19(32): 43-51.
[4] 雷添杰, 李长春, 何孝莹. 无人机航空遥感系统在灾害应急救援中的应用[J]. 自然灾害学报, 2011, 20(1): 178-183.
LEI T J, LI C C, HE X Y. Application of aerial remote sensing of pilotless aircraft to disaster emergency rescue [J]. Journal of Natural Disasters, 2011, 20(1): 178-183.
[5] 许桃元. 遥感在自然资源工作中的应用浅析[J]. 测绘通报, 2019(S1): 90-92.
XU T Y. Application of remote sensing in natural resources work [J]. Bulletin of Surveying and Mapping, 2019(S1): 90-92.
[6] 姜三, 许志海, 张 峰, 等. 面向无人机倾斜影像的高效SfM重建方案[J]. 武汉大学学报(信息科学版), 2019, 44(8): 1153-1161.
JIANG S, XU Z H, ZHANG F, et al. Solution for efficient SfM reconstruction of oblique UAV images [J]. Geomatics and Information Science of Wuhan University, 2019, 44(8): 1153-1161.
[7] 赵业隆, 吉长东, 杜全叶. 电力线巡检的无人机数字正射影像制作[J]. 测绘科学, 2018, 43(9): 146-152.
ZHAO Y L, JI C D, DU Q Y. Digital orthophoto map making based on UAV electric power line inspection [J]. Science of Surveying and Mapping, 2018, 43(9): 146-152.
[8] 史经, 谢伟秋. 无人机航测技术在农村土地承包经营权确权调查底图制作中的应用[J]. 测绘通报, 2017(9): 92-95.
SHI J, XIE W Q. Application of unmanned aerial vehicle aerial survey technology in base map making for survey of rural land contract management right [J]. Bulletin of Surveying and Mapping, 2017(9): 92-95.
[9] 贾智乐. 飞马F200无人机在大型水利工程及BIM建设中的应用[J]. 测绘通报, 2019(9): 159-162.
JIA Z L. Application on large-scale water conservancy projects and BIM construction by FEIMA F200 UAV [J]. Bulletin of Surveying and Mapping, 2019(9): 159-162.
[10] 吴波涛, 冯琦. 无人机航测在大型水利工程中的应用[J]. 长江科学院院报, 2017, 34(3): 148-150.
WU B T, FENG Q. Application of unmanned aerial vehicle to a large water conservancy project [J]. Journal of Yangtze River Scientific Research Institute, 2017, 34(3): 148-150.
[11] 井然. 无人机摄影测量技术像控点布设方案研究——应用于水利水电工程[J]. 东华理工大学学报(自然科学版), 2019, 42(1): 86-90.
JING R. Layout program of image control points in photogrammetry technology based on UAV: applied in water conservancy and hydropower projects [J]. Journal of East China University of Technology (Natural Science), 2019, 42(1): 86-90.
[12] 李英成, 叶冬梅, 薛艳丽, 等. GPS辅助空中三角测量技术在无人机海岛测图中的应用[J]. 测绘科学, 2012, 37(5): 55-57.
LI Y C, YE D M, XUE Y L, et al. Application of GPS supported aerial triangulation technology in UAV island topographic mapping [J]. Science of Surveying and Mapping, 2012, 37(5): 55-57.
[13] 彭向阳, 刘正军, 麦晓明, 等. 无人机电力线路安全巡检系统及关键技术[J]. 遥感信息, 2015, 30(1): 51-57.
PENG X Y, LIU Z J, MAI X M, et al. A transmission line inspection system based on remote sensing: system and its key technologies [J]. Remote Sensing Information, 2015, 30(1): 51-57.
[14] 傅咏冬. 无人机和地面三维激光扫描仪在1∶500城市基本地形图测绘中的应用[J]. 测绘工程, 2018, 27(5): 77-80.
FU Y D. Exploration and application of new technology to surveying and mapping of 1: 500 basic topographic maps of cities [J]. Engineering of Surveying and Mapping, 2018, 27(5): 77-80.
[15] 张 琛, 周丹丹, 贺 丹. 一种有效改善无人机1∶500测图高程精度的方法[J]. 测绘通报, 2017(S2): 70-72.
ZHANG C, ZHOU D D, HE D. An effective method to improve the elevation accuracy of UAV 1: 500 mapping [J]. Bulletin of Surveying and Mapping, 2017(S2): 70-72.
[16] 陈 驰, 杨必胜, 彭向阳. 低空UAV激光点云和序列影像的自动配准方法[J]. 测绘学报, 2015, 44(5): 518-525.
CHEN C, YANG B S, PENG X Y. Automatic registration of low altitude UAV sequent images and laser point clouds [J]. Science of Surveying and Mapping, 2015, 44(5): 518-525.
[17] 焦字军, 付海德. 航测外业布点对解析空中三角测量精度的影响[J]. 测绘与空间地理信息, 2012, 35(9): 185-187.
JIAO Z J, FU H D. The influence of point setting in aerial surveying on the accuracy of analytical aerotriangulation [J]. Geomatics & Spatial Information Technology, 2012, 35(9): 185-187.
[1] 吴庆捷, 崔苗, 张广驰, 陈伟. 无人机信息采集系统的端到端吞吐量最大化研究[J]. 广东工业大学学报, 2022, 39(06): 53-61.
[2] 郑思远, 崔苗, 张广驰. 基于强化学习的无人机安全通信轨迹在线优化策略[J]. 广东工业大学学报, 2021, 38(04): 59-64.
[3] 曾振华, 郑汇峰, 祝玉杰, 罗志勇. 多旋翼无人机自主精准降落的控制系统研究[J]. 广东工业大学学报, 2020, 37(01): 87-94.
[4] 余俊鹏, 林洁鸿, 詹松辉, 姚乃文. 近景影像特征点匹配方法比较研究[J]. 广东工业大学学报, 2018, 35(04): 56-60.
[5] 余俊鹏, 何炽荣. GPS-RTK辅助近景摄影测量光束法平差及精度分析[J]. 广东工业大学学报, 2017, 34(06): 73-77.
[6] 李仲阳； 谢存禧； 邵明； 成晓阳； . 快速成型的精度分析与自适应分层的研究[J]. 广东工业大学学报, 2000, 17(2): 15-19.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
版权所有 © 2017 《广东工业大学学报》编辑部
地址：广州市东风东路729号广东工业大学 邮编：510090
电话：020-37626653,020-37626139,020-37626396
邮箱：xbzrb@gdut.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发