Automatic Extraction of Urban Road Centerlines from High-Resolution Satellite Imagery Using Automatic Thresholding and Morphological Operation Method
- 1 School of Geomatics, Liaoning Technical University, Fuxin, China
- 2 School of Geomatics, Liaoning Technical University, Fuxin, China
- 3 School of Geomatics, Liaoning Technical University, Fuxin, China
Abstract
The commercial high-resolution imaging satellite with 1 m spatial resolution IKONOS is an important data source of information for urban planning and geographical information system (GIS) applications. In this paper, a morphological method is proposed. The proposed method combines the automatic thresholding and morphological operation techniques to extract the road centerline of the urban environment. This method intends to solve urban road centerline problems, vehicle, vegetation, building etc. Based on this morphological method, an object extractor is designed to extract road networks from highly remote sensing images. Some filters are applied in this experiment such as line reconstruction and region filling techniques to connect the disconnected road segments and remove the small redundant. Finally, the thinning algorithm is used to extract the road centerline. Experiments have been conducted on a high-resolution IKONOS and QuickBird images showing the efficiency of the proposed method.
- Baltsavias, E., Gruen, A. and van Gool, L. (2001) Automatic Extraction of Man-Made Objects from Aerial and Space Images (III). Balkema, Lisse, The Netherlands.
- de Castro, F.S.P. and Centeno, J.A.S. (2010) Road Extraction from ALOS Images Using Mathematical Morphology. IAPRS Journal, 38, Part 7B.
- Sirmacek, B. and Unsalan, C. (2010) Road Network Extraction Using Edge Detection and Spatial Voting. International Conference on Pattern Recognition, Istanbul, 23-26 August 2010, 3113-3116. http://dx.doi.org/10.1109/icpr.2010.762
- Yang, J. and Wang, R. (2007) Classified Road Detection from Satellite Images Based on Perceptual Organization. International Journal of Remote Sensing, 28, 4653-4669. http://dx.doi.org/10.1080/01431160701250382
- Li, L.-W., Liu, J.-P. and Yin, Z.-W. (2005) Road Extraction from High Resolution Remote Sensing Image Based on Mathematic Morphology. Remote Sensing Information, 5, 9-11.
- Daryal, N. and Kumar, V. (2010) Linear Extraction of Satellite Imageries Using Mathematical Morphology. International Journal of Computer Applications, 3. http://dx.doi.org/10.5120/717-1009
- Baumgartner, A., Steger, C., Mayer, H. and Eckstein, W. (1997) Multi-Resolution, Semantic Objects, and Context for Road Extraction. In Semantic Modeling for the Acquisition of Topographic Information from Images and Maps, Birkhauser Verlag, 140-156.
- Unsalan, C. and Boyer, K. (2005) A System to Detect Houses and Residential Street Networks in Multispectral Satellite Images. Computer Vision and Image Understanding, 98, 432-461. http://dx.doi.org/10.1016/j.cviu.2004.10.006
- Kim, Y., Seo, B. and Oh, J. (2000) The Effect of the Resolution of Satellite Images on the Interpretability and Detectability of Geographic Information. Proceedings of Pecora 14-Land Satellite Information in the Next Decade, III Conference, Denver Colorado, 6-9 December 2000.
- Coulter, L., Stow, D., Kiracofe, B., Langevin, C., Chen, D., Daeschner, S., Service, D. and Kaiser, J. (1999) Deriving Current Land-Use Information for Metropolitan Transportation Planning through Integration of Remotely Sensed Data and GIS. Photogrammetric Engineering and Remote Sensing, 65, 1293-1300.
- Fraser, C., Baltsvias, E. and Gruen, A. (2002) Processing of IKONOS Imagery for Sub-Meter 3D Positioning and Building Extraction. ISPRS Journal of Photogrammetry and Remote Sensing, 56, 177-194. http://dx.doi.org/10.1016/S0924-2716(02)00045-X