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dc.contributor.authorLi, Xiaofengen_US
dc.contributor.authorZhang, Shuqingen_US
dc.contributor.authorPan, Xinen_US
dc.contributor.authorDale, Patriciaen_US
dc.contributor.authorCropp, Rogeren_US
dc.date.accessioned2017-05-03T11:11:45Z
dc.date.available2017-05-03T11:11:45Z
dc.date.issued2010en_US
dc.date.modified2012-09-14T01:34:20Z
dc.identifier.issn13665901en_US
dc.identifier.doi10.1080/01431160903283835en_US
dc.identifier.urihttp://hdl.handle.net/10072/37242
dc.description.abstractRoads are important basic geographical phenomena and the automatic recogni- tion and extraction of road features from remote sensing images has many applica- tions. However, automated road extraction from high-resolution remote sensing imagery is problematic. In recent years, many approaches have been explored for automatic road extraction, particularly involving road edge detection. Traditional edge detection operators such as the Canny or the Sobel operator are used frequently but there are serious problems of over- or underdetection, and time- consuming and complicated post-processing work is often required. In this paper, a new revised parallel-beam Radon transform (RPRT) approach is proposed. The traditional PRT can have problems with step values, resulting in false edge detec- tion. To overcome these problems we introduced the RPRT, using the harmonic average of the pixel value in every strip of the Radon slice. An algorithm suitable for straight edge detection of roads in high-resolution remote sensing imagery was designed based on the ridgelet transform with the RPRT. The experimental results show that our algorithm can detect straight road edges efficiently and accurately, and avoid cumbersome and complicated post-processing work.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.format.extent972344 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_US
dc.publisherTaylor & Francisen_US
dc.publisher.placeUnited Kingdomen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofpagefrom5041en_US
dc.relation.ispartofpageto5059en_US
dc.relation.ispartofissue19en_US
dc.relation.ispartofjournalInternational Journal of Remote Sensingen_US
dc.relation.ispartofvolume31en_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchPhotogrammetry and Remote Sensingen_US
dc.subject.fieldofresearchcode090905en_US
dc.titleStraight road edge detection from high-resolution remote sensing images based on the ridgelet transform with the revised parallel-beam Radon transformen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.rights.copyrightCopyright 2010 Routledge. This is an electronic version of an article published in International Journal of Remote Sensing, Vol. 31(19), pp. 5041-5059. International Journal of Remote Sensing is available online at: http://www.informaworld.com with the open URL of your article.en_US
gro.date.issued2010
gro.hasfulltextFull Text


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