
测绘学报 ›› 2015, Vol. 44 ›› Issue (9): 1014-1021.doi: 10.11947/j.AGCS.2015.20140394
刘颖真1,2,3, 贾奋励4, 万刚4, 诸云强2, 霍超5
收稿日期:2014-04-23
修回日期:2015-01-24
出版日期:2015-09-24
发布日期:2015-09-24
作者简介:刘颖真(1981—),女,博士,研究方向为三维地理信息构建与人机交互。E-mail:liuyz@lreis.ac.cn
基金资助:LIU Yingzhen1,2,3, JIA Fenli4, WAN Gang4, ZHU Yunqiang2, HUO Chao5
Received:2014-04-23
Revised:2015-01-24
Online:2015-09-24
Published:2015-09-24
Contact:
诸云强,zhuyq@igsnrr.ac.cn
E-mail:zhuyq@igsnrr.ac.cn
Supported by:摘要: 由非专业弱关联影像自动化构建的三维地理空间模型是地理空间信息的重要来源。非专业弱关联影像在三维重建后必须经过地理配准,具有了绝对地理空间坐标系的位置信息及其准确的空间精度信息后,才有可能成为有效的地理空间信息。本文提出了一种以相机GPS模块获取的地理空间坐标为依据的理配准方法,依据影像的地理空间坐标和其三维重建后得到图像空间坐标的空间相似性,考虑GPS实时测量坐标精度较差和高程测量值不稳定的特点,采用RANSAC方法求解二维和三维两种空间变换参数及地理配准结果。利用差分GPS测量的影像位置数据对地理配准的精度进行了分析,给出了位移、旋转和缩放等误差的定量评估结果,分析了产生错误结果的原因。这种地理配准方法对数据采集设备要求低,过程无须人工参与。试验证明,在参与地理配准运算的照片数量较多时,配准结果正确、空间精度较高。
中图分类号:
刘颖真, 贾奋励, 万刚, 诸云强, 霍超. 非专业弱关联影像的地理配准及其精度评估[J]. 测绘学报, 2015, 44(9): 1014-1021.
LIU Yingzhen, JIA Fenli, WAN Gang, ZHU Yunqiang, HUO Chao. Geo-registration of Unprofessional and Weakly-related Image and Precision Evaluation[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(9): 1014-1021.
| [1] LIU Yingzhen, JIA Fenli, WAN Gang, et al. Construction and Application of 3D GIS Based on Unprofessionaland Weakly-Correlated Image[J]. Journal of Geomatics Science and Technology, 2014, 31(1): 73-78. (刘颖真, 贾奋励, 万刚, 等. 非专业弱关联影像构建三维GIS研究[J]. 测绘科学技术学报, 2014, 31(1): 73-78.) [2] KAMINSKY R S, SNAVELY N, SEITZ S M, et al. Alignment of 3D Point Clouds to Overhead Images[C]//IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. Miami: IEEE, 2009:63-70. [3] WANG Chunpo, WILSON K, SNAVELY N. Accurate Georegistration of Point Clouds Using Geographic Data[C]//2013 International Conference on 3D Vision. Seattle: IEEE, 2013:33-40. [4] ROBERTSON D P, CIPOLLA R. Building Architectural Models from Many Views Using Map Constraints[C]//HEYDEN A,SPARR G,NIELSEN M, et al.The European Conference on Computer Vision 2002. Copenhagen: Springer, 2002: 155-169. [5] CHO P. 3D Organization of 2D Urban Imagery[C]//Applied Imagery Pattern Recognition Workshop. Washington: IEEE, 2007:3-8. [6] CHO P, SNAVELY N. Enhancing Large Urban Photo Collections with 3D LiDAR and GIS Data[J]. International Journal of Remote Sensing Applications, 2013, 3(1): 1-10. [7] CHO P, SNAVELY N. 3D Exploitation of 2D Ground-level & Aerial Imagery[C]//IEEE Applied Imagery Pattern Recognition Workshop. Washington, DC: IEEE, 2011:1-8. [8] NI K, SUN Z, BLISS N. 3D Image Geo-Registration Using Vision-based Modeling[C]//IEEE International Conference on Acoustics, Speech and Signal Processing. Prague: IEEE, 2011:1573-1576. [9] WENDEL A, IRSCHARA A, BISCHOF H. Automatic Alignment of 3D Reconstructions Using a Digital Surface Model[C]//IEEE Computer Society Computer Vision and Pattern Recognition Workshops. Colorado Springs: IEEE, 2011:29-36. [10] WENDEL A, BISCHOF H.Visual Localization for Micro Aerial Vehicles in Urban Outdoor Environments[M]//FARINELLA G M, BATTIATO S,CIPOLLA R. Advanced Topics in Computer Vision. London: Springer, 2013: 181-214. [11] WENDEL A, MAURER M, BISCHOF H. Visual Landmark-based Localization for MAVs Using Incremental Feature Updates[C]//2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission. Zurich: IEEE, 2012:278-285. [12] WENDEL A, IRSCHARA A, BISCHOF H. Natural Landmark-based Monocular Localization for MAVs[C]//2011 IEEE International Conference on Robotics and Automation. Shanghai: IEEE, 2011:5792-5799. [13] SHEN Yonglin, LIU Jun, WU Lixin, et al. Reconstruction of Disaster Scene from UAV Images and Flight-control Data[J]. Geography and Geo-Information Science, 2011, 27(6): 13-17. (沈永林, 刘军, 吴立新, 等. 基于无人机影像和飞控数据的灾场重建方法研究[J]. 地理与地理信息科学, 2011, 27(6): 13-17.) [14] FRAHM J M, HEINLY J, ZHENG Enliang, et al. Geo-Registered 3D Models from Crowdsourced Image Collections[J]. Geo-spatial Information Science, 2013, 16(1): 55-60. [15] ZHANG Liang, MA Hongchao, GAO Guang, et al. Automatic Registration of Urban Aerial Images with Airborne LiDAR Points Based on Line-point Similarity Invariants[J].Acta Geodaetica et Cartographica Sinica, 2014, 43(4): 372-379. (张良, 马洪超, 高广, 等. 点、线相似不变性的城区航空影像与机载激光雷达点云自动配准[J]. 测绘学报, 2014, 43(4): 372-379.) [16] LI Tianwen. Theory and Application of GPS[M]. Beijing: Science Press, 2003:92-93. (李天文. GPS原理及应用[M]. 北京: 科学出版社, 2003:92-93.) [17] JIA Yunde. Machine Vision[M]. Beijing: Science Press, 2000:191-192. (贾云得. 机器视觉[M]. 北京: 科学出版社, 2000:191-192.) [18] SZELISKI R. Image Alignment and Stitching: A Tutorial[J]. Foundations and Trends in Computer Graphics and Vision, 2006, 2(1): 1-104. [19] FISCHLER M A, BOLLES R C. Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography[J]. Communications of the ACM, 1981, 24(6): 381-395. [20] NIKON. GPS Unit GP-1[EB/OL].[2014-06-28]. http://imaging.nikon.com/lineup/accessory/camera/gp-1/spec.htm. [21] SOUTH GROUP. RTK Surveying System >>S82T[EB/OL].[2014-07-08]. http://www.southsurvey.com/public/xianxi.php?id=301. (南方测绘. RTK测量系统>>S82T[EB/OL].[2014]. http://www.southsurvey.com/public/xianxi.php?id=301.) |
| [1] | 吴明光, 成梓铭. 顾及使用场景的绿色地图颜色生成方法研究[J]. 测绘学报, 2026, 55(3): 390-403. |
| [2] | 杨敏, 马宏然, 孔博, 刘鹏程, 艾廷华. 基于预训练模型的矢量海岸线形态模式判别方法[J]. 测绘学报, 2026, 55(3): 404-414. |
| [3] | 禹文豪, 曾子怡, 张一帆, 钱海忠. 融合欧氏空间邻近与拓扑邻接信息预训练模型的路网网格模式[J]. 测绘学报, 2026, 55(3): 415-424. |
| [4] | 禄小敏, 张志义, 闫浩文, 何毅, 苏小宁. 融合深度图信息最大化和多层感知机的建筑物群组模式识别方法[J]. 测绘学报, 2026, 55(3): 425-438. |
| [5] | 成晓强, 赵家威, 刘鹏程. 基于距离-相似性隐喻的空间交互可视化[J]. 测绘学报, 2026, 55(3): 536-547. |
| [6] | 王泽矫, 向隆刚, 王猛, 王兴娟, 刘清. 融合层级特征与多样化注意力的道路面与中心线协同提取网络[J]. 测绘学报, 2026, 55(3): 548-563. |
| [7] | 徐智邦. 实体城市的多层次边界识别、模式分析与扩张模拟[J]. 测绘学报, 2026, 55(3): 566-566. |
| [8] | 冉耘博, 杨雪, 周文豪, 吴承恩, 周宝定, 唐炉亮, 李清泉. 多维偏好增强型对抗深度强化学习驱动的行人路径规划[J]. 测绘学报, 2026, 55(2): 191-205. |
| [9] | 王立增, 程诗奋, 杨一涛, 王培晓, 陆锋. 局部-全局联合感知的时空自适应交通集成预测方法[J]. 测绘学报, 2026, 55(2): 206-221. |
| [10] | 王少华, 梁浩健, 苏澄, 徐大川, 周亮, 秦昆. 耦合时空大数据和人工智能的城市设施配置优化研究进展与展望[J]. 测绘学报, 2026, 55(2): 222-235. |
| [11] | 付晓, 朱司蕊, 厉旭东, 闾国年. 面向长距离通勤场景的城市垂直起降场布局优化方法[J]. 测绘学报, 2026, 55(2): 236-248. |
| [12] | 郭军豪, 吴明治, 王培晓, 张恒才. 一种面向定点稀疏轨迹的密度聚类停留点识别方法[J]. 测绘学报, 2026, 55(2): 249-260. |
| [13] | 李冠男. 道路实景三维模型自动构建方法[J]. 测绘学报, 2026, 55(2): 378-378. |
| [14] | 刘鹏程, 成晓强, 肖天元, 杨敏, 艾廷华. 一种面向地图综合建筑多边形化简的Transformer模型[J]. 测绘学报, 2026, 55(1): 124-137. |
| [15] | 贺彪, 林浩嘉, 郭仁忠, 蒯希, 马丁, 张琛. 基于视觉感知的三维空间相似关系量化计算[J]. 测绘学报, 2026, 55(1): 138-153. |
| 阅读次数 | ||||||
|
全文 |
|
|||||
|
摘要 |
|
|||||