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dc.contributor.authorKozaitis, S.P.
dc.contributor.authorCofer, Rufus H.
dc.date.accessioned2017-10-02T17:06:17Z
dc.date.available2017-10-02T17:06:17Z
dc.date.issued2003-08-14
dc.identifier.citationKozaitis, S. P., & Cofer, R. H. (2003). Lineal feature detection of rural imagery using multiresolution filters. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 5097 106-117en_US
dc.identifier.urihttp://hdl.handle.net/11141/1668
dc.descriptionDyanamic programming Feature detection Multiresolution Road detection Wavelet transformen_US
dc.description.abstractWe detected roads in aerial imagery using a method based on lineal feature detection. Our method used the products of wavelet coefficients at several scales were to identify and locate lineal features. Using our approach effectively increased the size of the region we examined when looking for possible road pixels, and decreased the probability of false positive road pixels. Then, we used a shortest path algorithm to link road pixels to form road networks. Our approach restricted possible road network solutions based on the initial detection of road pixels. We found that our approach leads to an effective method for detecting roads in aerial imagery. The method is general and can be applied to other features in 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.titleLineal feature detection of rural imagery using multiresolution filtersen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.484892


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