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Proceedings Paper

Semi-automatic road extraction from aerial images
Author(s): Somkait Udomhunsakul; Samuel Peter Kozaitis; U. Sritheeravirojana
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Paper Abstract

In this work, we proposed a method to detect roads in aerial imagery. In our approach, we applied the wavelet transform in a multiresolution sense by forming the products of wavelet coefficients at the different scales to locate and identify roads. After detecting possible road pixels, we used a graph searching algorithm to identify roads. We found that our approach leads to an effective method to form the basis of a road extraction approach.

Paper Details

Date Published: 13 February 2004
PDF: 7 pages
Proc. SPIE 5239, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III, (13 February 2004); doi: 10.1117/12.508365
Show Author Affiliations
Somkait Udomhunsakul, King Mongkut’s Institute of Technology Ladkrabang (Thailand)
Samuel Peter Kozaitis, Florida Institute of Technology (United States)
U. Sritheeravirojana, King Mongkut's Institute of Technology Ladkrabang (Thailand)


Published in SPIE Proceedings Vol. 5239:
Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III
Manfred Ehlers; Hermann J. Kaufmann; Ulrich Michel, Editor(s)

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