TECHNICAL NOTES
Feb 1, 2007

Approximate Extraction of Spiralled Horizontal Curves from Satellite Imagery

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Publication: Journal of Surveying Engineering
Volume 133, Issue 1

Abstract

Generating road databases from high-resolution satellite imagery is advantageous over traditional methods because of its simplicity and efficiency. Previous research has addressed the extraction of nonspiralled horizontal curves (simple, compound, and reverse curves). All curves were assumed to be circular. This paper presents an approximate method for extracting spiralled horizontal curves. A spiralled horizontal curve consists of a circular curve and a spiral curve at each end that connects the circular curve and the tangent. The spiral curve has a curvature that gradually increases from zero (at the tangent) to the curvature of the circular curve. Because of the symmetry of the spiralled horizontal curve and the semiautomatic nature of the extraction process, the search is three dimensional. Similar to the extraction of nonspiralled horizontal curves, the proposed method performs the search procedures in a smaller area than the image size and achieves faster computations. The method first extracts one side of the road, and a simple procedure for establishing the other side is then applied. The derived curve parameters (circular curve radius, deflection angle, and spiral length) represent useful inputs into a geographic information system database.

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Acknowledgments

The research performed is partially funded by Discovery Grant of the National Science and Engineering Council of Canada. The writers wish to thank Anthony Sani of Spatial Geo-link in Toronto for his support with the latest version of ERDAS Imagine. The IKONOS imagery was provided by the Greater Toronto Airports Authority.

References

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Dong, H. (2003). “Semi-automated extraction of urban road networks by geometric analysis of IKONOS imagery.” MASc thesis, Dept. of Civil Engineering, Ryerson Univ., Toronto.
Easa, S. M. (2002). “Geometric design.” in Civil engineering handbook, W. F. Chen and J. Y. Liew, eds., Chap. 63, CRC Press, Boca Raton, Fla.
Easa, S. M., Dong, H., and Li, J. (2007). “Use of satellite imagery for establishing road horizontal alignments.” J. Surv. Eng., 133(1), 29–35.
Intel. (2001). Open source computer vision library: Reference manual. Internet: www.intel.com
Kavanagh, B. F., and Bird, S. J. (2000). Surveying—Principles and applications, Prentice-Hall, Columbus, Ohio.
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Information & Authors

Information

Published In

Go to Journal of Surveying Engineering
Journal of Surveying Engineering
Volume 133Issue 1February 2007
Pages: 36 - 40

History

Received: Oct 2, 2003
Accepted: Oct 21, 2005
Published online: Feb 1, 2007
Published in print: Feb 2007

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Authors

Affiliations

Haibin Dong
Former Graduate Student, Dept. of Civil Engineering, Ryerson Univ., Toronto ON, Canada M5B 2K3.
Said M. Easa, M.ASCE
Professor, Dept. of Civil Engineering, Ryerson Univ., Toronto ON, Canada M5B 2K3.
Jonathan Li
Associate Professor, Dept. of Civil Engineering, Ryerson Univ., Toronto ON, Canada M5B 2K3.

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