Paper
13 February 2004 Semi-automatic road extraction from aerial images
Author Affiliations +
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Somkait Udomhunsakul, Samuel Peter Kozaitis, and U. Sritheeravirojana "Semi-automatic road extraction from aerial images", Proc. SPIE 5239, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology III, (13 February 2004); https://doi.org/10.1117/12.508365
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Roads

Airborne remote sensing

Environmental monitoring

Geographic information systems

Geology

Remote sensing

Wavelet transforms

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