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dc.contributor.authorHe, Chu
dc.contributor.authorLiao, Z.X.
dc.contributor.authorYang, Fang
dc.contributor.authorDeng, Xinping
dc.contributor.authorLiao, M.S.
dc.date.accessioned2016-05-19T12:09:06Z
dc.date.issued2012
dc.identifier.citationHe, C., Liao, Z., Yang, F., Deng, X., Liao, M. Road extraction from SAR imagery based on multiscale geometric analysis of detector responses. "IEEE journal of selected topics in applied earth observations and remote sensing", 2012, vol. 5, núm. 5, p. 1373-1382.
dc.identifier.issn1939-1404
dc.identifier.urihttp://hdl.handle.net/2117/87194
dc.description.abstractIn this paper, a road network grouping algorithm for Synthetic Aperture Radar (SAR) images is proposed by exploiting multiscal e geometric analysis of detector responses. Before running the algorithm, a response map made up of responses, which is binarized, skeletonized, and vectorized to generate road candidates, is obtained by applying a local detector to a SAR image first. Then the proposed method identifies real road segments among the candidates and fills gaps between them. It works in three steps. 1) Guidance segments are extracted at different resolutions from the response map using multiscale techniques and merged to get a more appropriate approximation. 2) Segments are labeled “road” or “noise” using relaxation labeling techniques, among which “road” ones are grouped as they may lie on different roads. 3) Connection points between can didates are acquired by mapping candidates to grouped “road” guidance segments. Those connection points are linked with straight lines or curvilinear segments after a segmentation process. The experiments on TerraSAR images show the effectiveness of this new method.
dc.format.extent10 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Radar
dc.subject.lcshSyntethic aperture radar
dc.subject.otherMultiscale geometric analysis
dc.subject.otherRelaxation labeling
dc.subject.otherRoad network extraction
dc.subject.otherSynthetic aperture radar
dc.titleRoad extraction from SAR imagery based on multiscale geometric analysis of detector responses
dc.typeArticle
dc.subject.lemacRadar d'obertura sintètica
dc.identifier.doi10.1109/JSTARS.2012.2219614
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac11148650
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorHe, C.; Liao, Z.; Yang, F.; Deng, X.; Liao, M.
local.citation.publicationNameIEEE journal of selected topics in applied earth observations and remote sensing
local.citation.volume5
local.citation.number5
local.citation.startingPage1373
local.citation.endingPage1382


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