非专业弱关联影像的地理配准及其精度评估

doi:10.11947/j.AGCS.2015.20140394

测绘学报 ›› 2015, Vol. 44 ›› Issue (9): 1014-1021.doi: 10.11947/j.AGCS.2015.20140394

非专业弱关联影像的地理配准及其精度评估

刘颖真^1,2,3, 贾奋励⁴, 万刚⁴, 诸云强², 霍超⁵

1. 总参谋部测绘信息中心, 北京 100088;
2. 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室, 北京 100101;
3. 中国科学院大学, 北京 100049;
4. 信息工程大学地理空间信息学院, 河南郑州 450052;
5. 西安测绘总站, 陕西西安 710054

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:
国家自然科学基金(40971239;41371381;41101437;41371383;41201390);科技基础性工作专项(2013FY110900);国家重大科学仪器设备开发专项(2012YQ06002704);云南省科技计划(2012CA021)

Geo-registration of Unprofessional and Weakly-related Image and Precision Evaluation

LIU Yingzhen^1,2,3, JIA Fenli⁴, WAN Gang⁴, ZHU Yunqiang², HUO Chao⁵

1. General Staff Information Center of Surveying and Mapping, Beijing 100088, China;
2. State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China;
4. Geospatial Information Institute, Information Engineering University, Zhengzhou 450052, China;
5. Technical Division of Surveying and Mapping, Xi'an 710054, China

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:
The National Natural Science Foundation of China (Nos.40971239 41371381 41101437 41371383 41201390);The Specific Foundation of Fundamental Scientific Research of China (No.2013FY110900);The National Foundation of Major Scientific Equipment Development of China (No.2012YQ06002704);The Science and Technology Plan Projects of Yunnan Province (No.2012CA021)

摘要/Abstract

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。

关键词: 二维地理配准, 三维地理配准, 影像GPS信息, 地理配准参数求解, 地理配准精度定量评估

Abstract: The 3D geo-spatial model built by unprofessional and weakly-related image is a significant source of geo-spatial information. The unprofessional and weakly-related image cannot be useful geo-spatial information until be geo-registered with accurate geo-spatial orientation and location. In this paper, we present an automatic geo-registration using the coordination acquired by real-time GPS module. We calculate 2D and 3D spatial transformation parameters based on the spatial similarity between the image location in the geo-spatial coordination system and in the 3D reconstruction coordination system. Because of the poor precision of GPS information and especially the unstability of elevation measurement, we use RANSAC algorithm to get rid of outliers. In the experiment, we compare the geo-registered image positions to their differential GPS coordinates. The errors of translation, rotation and scaling are evaluated quantitively and the causes of bad result are analyzed. The experiment demonstrates that this geo-registration method can get a precise result with enough images.

Key words: 2D geo-registration, 3D geo-registration, GPS information of image, parameter solution of geo-registration, quantitive evaluation of geo-registration precision

中图分类号:

P208

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.

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非专业弱关联影像的地理配准及其精度评估

Geo-registration of Unprofessional and Weakly-related Image and Precision Evaluation

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