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dc.contributor.authorKozaitis, S.P.
dc.contributor.authorUdomhunsakul, Somkait
dc.contributor.authorCofer, Rufus H.
dc.contributor.authorAgarawal, A.
dc.contributor.authorSong, Shuwu
dc.date.accessioned2017-10-03T18:36:17Z
dc.date.available2017-10-03T18:36:17Z
dc.date.issued2002-08-06
dc.identifier.citationKozaitis, S. P., Udomhunsakul, S., Cofer, R. H., Agarawal, A., & Song, S. -. (2002). Linear feature detection using multiresolution wavelet filters. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 4741 290-295en_US
dc.identifier.urihttp://hdl.handle.net/11141/1690
dc.descriptionDynamic programming, Feature extraction, Multiresolution, Wavelet transformen_US
dc.description.abstractWe 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.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law.en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleLinear feature detection using multiresolution wavelet filtersen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.478723


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