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dc.contributor.authorLi, Xiaofeng
dc.contributor.authorZhang, Shuqing
dc.contributor.authorPan, Xin
dc.contributor.authorDale, Pat
dc.contributor.authorCropp, Roger
dc.date.accessioned2017-05-03T11:11:45Z
dc.date.available2017-05-03T11:11:45Z
dc.date.issued2010
dc.date.modified2012-09-14T01:34:20Z
dc.identifier.issn0143-1161
dc.identifier.doi10.1080/01431160903283835
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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent972344 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherTaylor & Francis
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom5041
dc.relation.ispartofpageto5059
dc.relation.ispartofissue19
dc.relation.ispartofjournalInternational Journal of Remote Sensing
dc.relation.ispartofvolume31
dc.rights.retentionY
dc.subject.fieldofresearchPhysical geography and environmental geoscience
dc.subject.fieldofresearchGeomatic engineering
dc.subject.fieldofresearchPhotogrammetry and remote sensing
dc.subject.fieldofresearchcode3709
dc.subject.fieldofresearchcode4013
dc.subject.fieldofresearchcode401304
dc.titleStraight road edge detection from high-resolution remote sensing images based on the ridgelet transform with the revised parallel-beam Radon transform
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.rights.copyright© 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.
gro.date.issued2010
gro.hasfulltextFull Text
gro.griffith.authorDale, Patricia E.


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