L. Chaouche Ramdane
ABSTRACT
The present work 1 addresses the problem of extracting road networks from very high Spatial resolution satellite images in order to supply and / or update road databases in a Global Positioning System (GPS). This extraction is performed using a multi-resolution approach working in two steps: 1) extracting the road axis from a re-sampled image and then 2) using it to define the edges of the road. The results of the experiments are encouraging and demonstrate the effectiveness of the method adopted.
- R. Bonnefon, P. Dherete and J. Desachy. 1999. Automatic tracking of linear features on SPOT images using dynamic programming. Society of Photographic Instrumentation Engineers: Image and Signal Processing for Remote Sensing V, Vol. 3871, pp. 116--124, Florence, Italy.Google Scholar
Cross Ref
- Guray Erus. 2008. Recognition of map objects in high resolution satellite images. Doctoral thesis, University PARIS DESCARTES.Google Scholar
- M.A. Fischler, J.M. Tenenbaum, and H.C. Wolf. 1981. Detection of Roads and Linear Structures in Low-Resolution Aerial Imagery Using a Multisource Knowledge Integration Technique, Computer Graphics and Image Processing, vol. 15, Issue 3, pp. 201--223.Google ScholarCross Ref
- M.C. Girard. 1995. Contribution of the visual interpretation of satellite images for the spatial analysis of soil. Remote sensing and soil mapping.Google Scholar
- M.E. Gunst. 1991. Automatic Extraction of Roads from SPOT images. Doctoral thesis, Delft University of Technology, Faculty of Geodesy. Delft, Netherlands.Google Scholar
- C. Lacoste. 2004. Extraction of linear networks using satellite and aerial images by marked point processes. Doctoral thesis, University of Nice Sophia Antipolis.Google Scholar
- K.Ould Babaali, E. Zigh, M. Djebbouri and M. Kadiri. 2014. Survey of Some New Road Extraction Methods, The International Journal Of Engineering And Science (IJES), Volume 3,Issue 11,| Pages 28--33, ISSN (e): 2319-1813, ISSN (p): 2319-1805.Google Scholar
- R. Péteri, I. Couloigner and T. Ranchin. 2001. A multiresolution modelling approach for semi-automatic extraction of streets: application to high resolution images from the Ikonos satellite. Proceedings of the EARSeL/SFPT Symposium: Observing our environment from space: new solutions for a new millenium, Paris, France.Google Scholar
- R. Ruskoné. 1996. Extracting line networks from satellite and aerial images by marked point processes Automatic extraction of the road network by local interpretation of the context: application to the map data production. Doctoral thesis, University of Marne-La-Vallee, France.Google Scholar
- C. Steger, C. Glock, W. Eckstein, H. Mayer and B. Radig. 1995. Model-based road extraction from images, Automatic Extraction of Man-Made Objects from Aerial and Space Images I, Gruen, Baltsavias and Henricsson Editors, pp. 275--284.Google Scholar
- C. Sujatha and D. Selvathi. 2015. Connected component-based technique for automatic extraction of road centerline in high resolution satellite images, EURASIP Journal on Image and Video Processing,Google Scholar
- E. Tabarie. 1999. Automatic detection of the linear elements of multispectral SPOT images, Internship report DEA 2IL, University Paul Sabatier, Toulouse III,France.Google Scholar
- M. Teague.1980. Image analysis via the general theory of moments, Journal of the Optical Society of America, vol. 70, Issue 8, pp. 920--930.Google ScholarCross Ref
- A. Zlotnik and P. Carnine. 1993. Finding road seeds in aerial images, Computer Vision, Graphics, and Image Processing: Image understanding, Vol. 57, Issue 2, pp. 243--260. Google ScholarDigital Library
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