Please use this identifier to cite or link to this item: https://doi.org/10.1109/IGARSS.2010.5649942
DC FieldValue
dc.titleLine-segment vectorization on high-resolution satellite images
dc.contributor.authorYuan, B.
dc.contributor.authorLiew, S.C.
dc.contributor.authorKwoh, L.K.
dc.date.accessioned2014-12-12T07:15:45Z
dc.date.available2014-12-12T07:15:45Z
dc.date.issued2010
dc.identifier.citationYuan, B., Liew, S.C., Kwoh, L.K. (2010). Line-segment vectorization on high-resolution satellite images. International Geoscience and Remote Sensing Symposium (IGARSS) : 457-459. ScholarBank@NUS Repository. https://doi.org/10.1109/IGARSS.2010.5649942
dc.identifier.isbn9781424495658
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/115449
dc.description.abstractOptical remote sensing images of urban areas usually contain large amount of line-segments that represent the boundaries of man-made objects. The extraction and vectorization of these line-segments are desirable for many applications, such as digital city reconstruction. This paper presents a "Sweep & Scan" algorithm for the extraction and vectorization of these line-segments. The "Sweep" part of the algorithm uses the Wallace parameterization of the Muff Transform to identify straight lines globally, and the "Scan" part uses edge continuation and intensity correlation to identify line-segments locally. © 2010 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/IGARSS.2010.5649942
dc.sourceScopus
dc.subjectBuilding extraction
dc.subjectLine-segment vectorization
dc.subjectMuff Transform
dc.subjectWallace parameterization
dc.typeConference Paper
dc.contributor.departmentCTR FOR REM IMAGING,SENSING & PROCESSING
dc.description.doi10.1109/IGARSS.2010.5649942
dc.description.sourcetitleInternational Geoscience and Remote Sensing Symposium (IGARSS)
dc.description.page457-459
dc.description.codenIGRSE
dc.identifier.isiut000287933800118
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