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Geometric characteristics of Iraq’s raster topographic maps used for automatic updating the road network

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Języki publikacji
EN
Abstrakty
EN
This paper is devoted to the problem of road network extraction from raster image. The task of road network extraction is formulated in common view. The approach to the road map extraction has been proposed which can be applied for topographic map updating and is based on image clustering by k-means method and on application of scanning algorithm for extraction of road network fragments. Road map description is formed as set of linear fragments with knowing parameters. These linear fragments are created by merging of smaller parts. Experimental researches were implemented for maps of 10 Iraq cities. Experimental results show in average the extraction precision of 86% (in comparison with human expert).
Rocznik
Tom
Strony
7--18
Opis fizyczny
Bibliogr. 16 poz., rys., tab.
Twórcy
autor
  • Lviv Polytechnic National University Department of Photogrammetry and Geoinformatics 79013 Lviv, S.Bandery str. 12
Bibliografia
  • Anil P.N., Natarajan S. 2010. Automatic road extraction from high resolution imagery based on statistical region merging and skeletonization. Int. J. Engin. Sci. Techn., 2, 3, 165–171.
  • Beyen J., Ziems M., Mueller S., Roovers S., Heipke C. 2012. Semi-automatic update and quality control of road databases: Proc. of the 4th GEOBIA, 7–9 May, Rio de Janeiro, Brazil, 443–448.
  • Burshtynska K., Polishchuk B., Madyar J. 2014. The definition of the area of felling forests by high resolution satellite images. Geom. Landman. Landsc., 3, 43–54.
  • Callier S., Saito H. 2011. Automatic road extraction from printed maps. MVA2011 IAPR Conference on Machine Vision Applications, 13–15 June, Nara, Japan, 243–246.
  • Chiang Yao-Yi, Knoblock C. A. 2009. A method for automatically extracting road layers from raster maps. Proc. of the Tenth ICDAR, 2009.
  • Chiang Yao-Yi, Knoblock C. A. 2010. Extracting road vector data from raster maps. Graphics recognition. Achievements, challenges, and evolution. Lect. Notes Comp. Sci., 6020, 93–105.
  • Dal Poz A. P., Gallis R. A., da Silva J. F. 2010. Semiautomatic road extraction by dynamic programming optimisation in the object space: single image case. IEEE Geosci. Remote Sens. Lett., 7, 4, 796–800.
  • Forsyth D, Ponce J. 2012. Computer vision: A modern approach. Pearson.
  • Gonzalez R.C., Woods R.E. 2008. Digital image processing. 3rd edition. Prentice Hall.
  • Grote A. 2011. Automatic road network extraction in suburban areas from aerial images. Ph.D. thesis, DGK, C, 663.
  • Oneshko A., Volkov V., Germer R., Oralov D. 2010. Straight edge extraction and localization on noisy images: Proc. IEEE East-West Design&Test Symposium (EWDTS’10). 17–20 September, St.Petersburg, Russia, 267–270.
  • Qiaoping Zhang. 2006. Automated Road Network Extraction from High Spatial Resolution Multi-Spectral Imagery. A thesis submitted to the faculty of graduate studies in partial fulfilment of the requirements for the degree of doctor of philosophy. Department Of Geomatics Engineering, University Of Calgary, April.
  • Shapiro L.G., Stockman G.C. 2001. Computer vision. Prentice Hall.
  • Zheltov S.Yu., Vizilter Yu.V. 2004. Robust computer image analysis for flight vehicles navigation, guidance. 16th IFAC Symposium on Automatic Control in Aerospace, 2, St. Petersburg, 164–167.
  • Ziems M., Breitkopf U., Heipke C., Rottensteiner F. 2012. Multiple-model based verification of road data. XXII ISPRS Congress, 25 August–01 September 2012, Melbourne, Australia. ISPRS Ann. Photogram., Remote Sens. Spat. Inform. Sci., I–3.
  • Ziems M., Fujimura, H., Heipke C., Rottensteiner F. 2010. Multiple-model based verification of Japanese road data. I. Arch. Photogramm. Remote Sens. 38, 4, 8, 2, W9, 13–19.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-77240eea-3856-4aea-9db7-e6be7d75f56c
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