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

doi:10.13474/j.cnki.11-2246.2017.0076

Abstract

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

CLC Number:

P237

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.

References

[1] 张红平, 顾学云. 自发地理信息研究应用进展与趋势[J].地理信息世界, 2012,8(4):67-71.
[2] GOODCHILD M F. Citizens as Sensors:The World of Volunteered Geography[J]. GeoJournal, 2007, 69(4):211-221.
[3] 李德仁,钱新林. 浅论自发地理信息的数据管理[J]. 武汉大学学报(信息科学版), 2010, 35(4):379-383.
[4] 单杰, 秦昆,黄长青,等. 众源地理数据处理与分析方法探讨[J]. 武汉大学学报(信息科学版), 2014, 39(4):390-394.
[5] HAKLAY M. How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets[J]. Environment and Planning B(Planning and Design), 2010, 37(4):682-703.
[6] CIEPLUCH B,MOONEY P.Sketches of Generic Framework for Quality Assessment of Volunteered Geographical Data[C]//IEEE Geoscience and Remote Sensing Society.[S.l.]:IEEE,2011.
[7] AL-BAKRI M, FAIRBAIRN D. Assessing the Accuracy of "Crowsourced" Data and Its Integration with Official Spatial Data Sets[C]//Proceedings of the Ninth International Symposiums on Spatial Accuracy Assessment in Natural Resources and Environment Sciences.[S.l.]:[s.n.],2010:317-320.
[8] MACO H, CHRISTOF A. Comparative Spatial Analysis of Positional Accuracy of OpenStreetMap and Proprietary Geodata[M]//Geovizualisation, Society and Learning. Berlin:Herbert Wichmann Verlag, 2012:24-32.
[9] ROBERTO C, PEGGY A. A Photogrammetric Approach for Assessing Positional Accuracy of OpenStreetMap Roads[J]. Geo-Information, 2013, 2(2):276-301.
[10] 王明, 李清泉,胡庆武,等. 面向众源开放街道地图空间数据的质量评价方法[J].武汉大学学报(信息科学版), 2013, 38(12):1490-1494.
[11] ZHENG Shudan, ZHENG Jianghua. Assessing the Completeness and Positional Accuracy of OpenStreetMap in China[M]//Thematic Cartgraphy for the Society.Berlin:Springer, 2014.
[12] KOUNADI O. Assessing the Quality of OpenStreetMap Data[D]. London:University College of London, 2009.
[13] ZIELSTRA D, ZIPF A. A Comparative Study of Proprietary Geodata and Volunteered Geographic Information for Germany[C]//Proceedings of 13th AGILE International Conference on Geographic Information Science.[S.l.]:[s.n.],2010:10-14.
[14] KOUKOLETSOS T, HAKLAY M. An Automated Method to Assess Data Completeness and Positional Accuracy of OpenStreetMap[C]//Geo Computation.[S.l.]:[s.n.],2011:236-241.
[15] MOHAMMAD F, MAHMOUD R. A Quality Study of the OpenStreetMap Dataset for Tehran[J]. Geo-Information, 2014, 3(2):750-763.
[16] HAKLAY M, BASIOUKA S. How Many Volunteers Does It Make to Map An Area Well? The Validity of Linus's Law to Volunteered Geographic Information[J]. The Cartographic Journal, 2010, 47(4):315-322.
[17] ARSANJANI J J, BARRON C. Assessing the Quality of OpenStreetMap Contributors Together with Their Contributions[J]. AGILE, 2013,5(1):4-17.
[18] CHRISTOPHER B, PASCAL N. A Comprehensive Framework for Intrinsic OpenStreetMap Quality Analysis[J]. Transactions in GIS, 2014,18(6):877-895.
[19] KEBLER C, DE GROOT T A. Trust as a Proxy Measure for the Quality of Volunteered Geographic Information in the Case of OpenStreetMap[M]//Geographic Information Science at the Heart of Europe. Berlin:Springer,2013:21-37.
[20] BISHR M, MANTELAS L. A Trust and Reputation Model for Filtering and Classifying Knowledge about Urban Growth[J]. GeoJournal,2008,72(3-4):229-237.
[21] MOONEY P, PADRAIG C. Charactteristics of Heavily Edited Objects in OpenStreetMap[J]. Future Internet, 2012, 4(1):285-305.
[22] 赵肄江,周晓光.地理信息志愿者信誉度评估的版本相似度模型——以面目标为例[J].测绘学报,2015,44(5):578-584.
[23] 卜坤,张树文,杨久春,等. 基于Delaunay三角网的Shapefile几何纠正算法与实现[J].吉林大学学报(地球科学版), 2008, 38(3):521-526.