Linear feature detection using multiresolution wavelet filters

Samuel Peter Kozaitis; Somkait Udomhunsakul; Rufus H. Cofer; A. Agarawal; S.-W. Song

doi:10.1117/12.478723

6 August 2002 Linear feature detection using multiresolution wavelet filters

Samuel Peter Kozaitis, Somkait Udomhunsakul, Rufus H. Cofer, A. Agarawal, S.-W. Song

Proceedings Volume 4741, Battlespace Digitization and Network-Centric Warfare II; (2002) https://doi.org/10.1117/12.478723
Event: AeroSense 2002, 2002, Orlando, FL, United States

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.

Citation Download Citation

Samuel Peter Kozaitis, Somkait Udomhunsakul, Rufus H. Cofer, A. Agarawal, and S.-W. Song "Linear feature detection using multiresolution wavelet filters", Proc. SPIE 4741, Battlespace Digitization and Network-Centric Warfare II, (6 August 2002); https://doi.org/10.1117/12.478723

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