Journal article Open Access

A Linear Approach to Improving the Accuracy of City Planning and OpenStreetMap Road Datasets

Noskov, Alexey; Doytsher, Yerach

The developed method allows the user to integrate polygonal or linear datasets. Most existing approaches do not work well in the case of partial equality of polygons or polylines. The suggested method consists of two phases: searching for counterpart boundaries or polylines by a triangulation, and rectifying objects without correspondent polylines by a transformation and a shortest path algorithm. Data covering the Haifa region of Israel have been used for evaluation of the approach. City Planning datasets have been rectified by precise cadastre data. Positional accuracy of the City Planning datasets has been increased significantly. Average distance between segments of the datasets has been decreased in almost five times. Standard deviation has been decreased by thirty-five percent. In addition, more complete road layer of OpenStreetMap covering the city has been rectified by a more precise statutory road layer. Positional accuracy of the rectified layer has been improved significantly. The rectified layer has been utilized to prepare a large-scale map depicting roads with individual widths and statutory buildings. OpenStreetMap rasterization rules have been applied for road widths calculation. The prepared map depicts real-size buildings and roads’ widths in scale.

Files (3.0 MB)
Name Size
Noskov2017ImprovingOSMRoads.pdf
md5:94b17b64542385b4b5f4c5e7c06a0c5d
3.0 MB Download
  • A. Arozarena, G. Villa, N. Valcárcel, and B. Pérez, "Integration of Remotely Sensed Data Into Geospatial Reference Information Databases. Un-Ggim National Approach," ISPRS-International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 721-5, 2016
  • A. Bronstein, R. Kimmel, M. Mahmoudi, and G. Sapiro, "A Gromov-Hausdorff framework with diffusion geometry for topologically-robust non-rigid shape matching," International Journal of Computer Vision, vol. 89(2-3), 2010, pp. 266-286
  • A. Kipf and A. Kemper, "An Integration Platform for Temporal Geospatial Data. Digital Mobility Platforms and Ecosystems," 2016
  • A. Noskov and Y. Doytsher, "A Linear Approach for Spatial Data Integration," GEOProcessing 2016, Venice, Italy, 2016, pp. 93-99
  • A. Noskov and Y. Doytsher, "A Segmentation-based Approach for Improving the Accuracy of Polygon Data," GEOProcessing 2015, Portugal, 2015, pp. 69-74
  • A. Noskov and Y. Doytsher, "Triangulation and Segmentation-based Approach for Improving the Accuracy of Polygon Data," International Journal on Advances in Software, vol. 9 (1-2), 2016
  • B. Schmitzer and C. Schnorr, "Object segmentation by shape matching with Wasserstein modes," Energy Minimization Methods in Computer Vision and Pattern Recognition, Springer Berlin Heidelberg, 2013
  • C. Parent and S. Spaccapietra, "Database integration: the key to data interoperability," Advances in Object-Oriented Data Modeling, M. P. Papazoglou, S. Spaccapietra, Z. Tari (Eds.), The MIT Press, 2000
  • D. Foster and C. Mayfield, "Geospatial Resource Integration in Support of Homeland Defense and Security", International Journal of Applied Geospatial Research (IJAGR), vol. 7(4):53-63, 2016
  • E. Rahm and P. Bernstein, "A survey of approaches to automatic schema matching," The International Journal on Very Large Data Bases (VLDB), vol. 10(4), 2001, pp. 334– 350
  • G. Wiederhold, "Mediation to deal with heterogeneous data sources," Interoperating Geographic Information System, 1999, pp. 1–16
  • H. Kim and C. Chung, "Geo-spatial data integration for subsurface stratification of dam site with outlier analyses," Environmental Earth Sciences, vol. 75(2), 2016
  • http://wiki.openstreetmap.org/wiki/Zoom_levels [accessed 15.06.2017]
  • https://github.com/gravitystorm/openstreetmap- carto/blob/master/roads.mss [accessed 15.06.2017]
  • J. Bennett, "OpenStreetMap - Be your own cartographer," ISBN: 978-1-84719-750-4, Packt Publishing, 2011
  • K. Piętak, J. Dajda, M. Wysokiński, M. Idzik, and L. Leśniak, "Geospatial Data Integration for Criminal Analysis", Man– Machine Interactions 4, Springer International Publishing, 2016, pp. 461-471
  • M. Landa, "GRASS GIS 7.0: Interoperability improvements," GIS Ostrava, Jan. 2013, pp.21-23
  • M. Shapiro and J. Westervelt, "r. mapcalc: An algebra for GIS and image processing", Construction Engineering Research Lab (ARMY), Champaign IL; 1994
  • N. Tsendbazar, S. Bruin, S. Fritz, and M. Herold, "Spatial Accuracy Assessment and Integration of Global Land Cover Datasets", Remote Sensing, vol. 7(12):15804-21, 2015
  • P. Shvaiko and J. Euzenat, "A survey of schema-based matching approaches," Journal on Data Semantics IV, Springer Berlin Heidelberg, 2005, pp. 146-171
  • R. Abdalla, "Geospatial Data Integration", Introduction to Geospatial Information and Communication Technology (GeoICT), Springer International Publishing, 2016, pp. 105- 124
  • R. Xie, Y. Liu, X. Li, L. Yu, "A Framework of Satellite Observation Data Integration System," International Conference on Mechatronics, Electronic, Industrial and Control Engineering (MEIC 2015), 2015
  • S. Belongie, J. Malik, and J. Puzicha, "Shape matching and object recognition using shape contexts," IEEE Trans. on Pattern Analysis and Machine Intelligence, 24(4), 2002, pp. 509—522
  • S. Filin and Y. Doytsher, "The detection of corresponding objects in a linear-based map conflation," Surveying and land information systems, vol. 60(2), 2000, pp. 117-127
  • S. Zheng and J. Zheng, "Assessing the completeness and positional accuracy of OpenStreetMap in China," Thematic Cartography for the Society, Springer International Publishing, 2014, pp. 171-189
  • Saalfeld, "Conflation-automated map compilation," nternational Journal of Geographical Information Science (IJGIS), vol. 2 (3), 1988, pp. 217–228.
  • T. Ma and J. Longin, "From partial shape matching through local deformation to robust global shape similarity for object detection," Computer Vision and Pattern Recognition (CVPR), IEEE Conference on. IEEE, 2011, pp. 1441-1448
  • X. Chen, "Spatial relation between uncertain sets," International archives of Photogrammetry and remote sensing, vol. 31(B3), Vienna, 1996, pp. 105-110
  • X. Shu and X. Wu, "A novel contour descriptor for 2D shape matching and its application to image retrieval," Image and vision Computing, vol. 29.4, 2011, pp. 286-294
35
16
views
downloads
All versions This version
Views 3536
Downloads 1616
Data volume 47.9 MB47.9 MB
Unique views 2728
Unique downloads 1414

Share

Cite as