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Proceedings Paper

Linear feature detection using multiresolution wavelet filters
Author(s): Samuel Peter Kozaitis; Somkait Udomhunsakul; Rufus H. Cofer; A. Agarawal; S.-W. Song
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Paper Abstract

We detected roads in aerial imagery based on multiresolution linear feature detection. Our method used the products of wavelet coefficients at several scales to identify and locate linear features. After detecting possible road pixels, we used a shortest-path algorithm to identify roads. The multiresolution approach effectively increased the size of the region we examined when looking for possible road pixels and reduced the effect of noise. We found that our approach leads to an effective method for detecting roads in aerial imagery.

Paper Details

Date Published: 6 August 2002
PDF: 6 pages
Proc. SPIE 4741, Battlespace Digitization and Network-Centric Warfare II, (6 August 2002); doi: 10.1117/12.478723
Show Author Affiliations
Samuel Peter Kozaitis, Florida Institute of Technology (United States)
Somkait Udomhunsakul, Florida Institute of Technology (United States)
Rufus H. Cofer, Florida Institute of Technology (United States)
A. Agarawal, Florida Institute of Technology (United States)
S.-W. Song, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 4741:
Battlespace Digitization and Network-Centric Warfare II
Raja Suresh; William E. Roper; William E. Roper, Editor(s)

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