Show simple item record

dc.contributor.authorCofer, Rufus H.
dc.contributor.authorKozaitis, S.P.
dc.contributor.authorCha, Jihun
dc.date.accessioned2017-10-02T18:41:26Z
dc.date.available2017-10-02T18:41:26Z
dc.date.issued2003-08-14
dc.identifier.citationCofer, R. H., Kozaitis, S. P., & Cha, J. (2003). Extended hough methodology in geospatial image exploitation. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 5097 149-157.en_US
dc.identifier.urihttp://hdl.handle.net/11141/1676
dc.descriptionAlgorithmic implementation, Hough transforms, Image exploitation, Lineal featuresen_US
dc.description.abstractHough transform theory provides a heuristically appealing approach toward finding lineal features in imagery. Unfortunately direct algorithmic implementation of its theory results in many practical problems. We provide two interlocking theoretical extensions to greatly enhances the Hough transform's ability to handle finite lineal features and allow directed search for parallel lines within the scene while balancing memory and computational complexity. Both extensions involve expansion of the Hough space concept to allow easier access to processed data for both dedicated silicon and general-purpose computer implementations.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.titleExtended Hough methodology in geospatial image exploitationen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.487010


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record