基于影像匹配的自发地理信息道路精度评价与改善

doi:10.13474/j.cnki.11-2246.2017.0076

测绘通报 ›› 2017, Vol. 0 ›› Issue (3): 22-25.doi: 10.13474/j.cnki.11-2246.2017.0076

基于影像匹配的自发地理信息道路精度评价与改善

马超, 孙群, 徐青, 王志坚

信息工程大学地理空间信息学院, 河南郑州 450001

收稿日期:2016-05-11 修回日期:2017-02-07 出版日期:2017-03-25 发布日期:2017-03-31
作者简介:马超(1988-),男,博士生,主要研究方向为数字地图制图与应用。E-mail:13203711480@163.com
基金资助:
国家863计划（2012AA12A404）；国家自然科学基金（41571399；41201391；41201469）

Accuracy Evaluation and Improvement of Volunteer Geographic Information Based on Image Matching

MA Chao, SUN Qun, XU Qing, WANG Zhijian

Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China

Received:2016-05-11 Revised:2017-02-07 Online:2017-03-25 Published:2017-03-31

摘要/Abstract

摘要： 针对无矢量参考数据自发地理信息道路精度难以评价的问题，提出了一种基于影像匹配的道路精度评价方法。首先提取影像与自发地理信息中的道路交叉口作为控制点，并将对应的交叉口进行匹配，以同名控制点的均方根误差作为自发地理信息的道路精度；然后以两组控制点分别构建Delaunay三角网，利用两组控制点的对应关系对每个三角网进行仿射变换，从而实现对自发地理信息道路的几何纠正，以提高其精度。最后以郑州市的Open Street Map道路数据进行试验，结果表明本文算法能够有效提高自发地理信息的道路精度。

关键词: 影像匹配, 自发地理信息, 精度评价, 几何纠正

Abstract: Aiming at the question that it is difficult to evaluate the accuracy of the volunteer geographic information under no vector reference data condition, a road accuracy evaluation method based on imaging matching is proposed. Firstly, the road intersections between the image and the volunteer geographic information are extracted as control points, and the corresponding control points are matched,then, the root mean square error of the control points of the same name are taken as road accuracy of the volunteer geographic information; Secondly, Delaunay triangulation network are respectively built by two sets of the control points, and affine translation for each triangulation network are conducted by using the corresponding relationship between these two sets, in order to achieve geometric correction of volunteer geographic information and improve its accuracy. Finally, the road data of Open Street Map in Zhengzhou city are utilized to do an experiment. The result shows the algorithm proposed in this paper is able to improve the road accuracy of the volunteer information effectively.

Key words: image matching, volunteer geographic information, accuracy evaluation, geometric correction

中图分类号:

P237

马超, 孙群, 徐青, 王志坚. 基于影像匹配的自发地理信息道路精度评价与改善[J]. 测绘通报, 2017, 0(3): 22-25.

MA Chao, SUN Qun, XU Qing, WANG Zhijian. Accuracy Evaluation and Improvement of Volunteer Geographic Information Based on Image Matching[J]. 测绘通报, 2017, 0(3): 22-25.

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基于影像匹配的自发地理信息道路精度评价与改善

Accuracy Evaluation and Improvement of Volunteer Geographic Information Based on Image Matching

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