Please use this identifier to cite or link to this item: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1001483
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dc.contributor.authorSoares, F.pt_BR
dc.contributor.authorNavarro, A.pt_BR
dc.contributor.authorSantos, T.pt_BR
dc.contributor.authorFreire, S.pt_BR
dc.contributor.authorFonseca, A. M.pt_BR
dc.contributor.authorAfonso, N.pt_BR
dc.contributor.authorTenedório, J.pt_BR
dc.date.accessioned2011-01-05T11:44:07Zpt_BR
dc.date.accessioned2014-10-09T13:51:53Zpt_BR
dc.date.accessioned2016-06-23T09:45:01Z-
dc.date.available2011-01-05T11:44:07Zpt_BR
dc.date.available2014-10-09T13:51:53Zpt_BR
dc.date.available2016-06-23T09:45:01Z-
dc.date.issued2010-06-29pt_BR
dc.identifier.urihttp://repositorio.lnec.pt:8080/jspui/handle/123456789/1001483-
dc.description.abstractThis paper presents a comprehensive approach to effectively extract cartographic urban data from high resolution satellite imagery. It consists of a sequence of image processing techniques, for image segmentation, based on RGB band separation, analysis and preprocessing, followed by a morphological-based approach for data segmentation. The chosen image objects for this study are roof-tile buildings and road network. The first step of this approach consists of a spectral response evaluation for roof-tile building objects in a dense urban environment, being those enhanced through proper sequence of standard arithmetic operators, applied to RGB bands, segmented and generalized. The second step aims at urban road network segmentation for cartographic representation purposes, by combining watershed and dual reconstruction morphological transformations, which characterize the hierarchical waterfall concept. For the latter concept, a new approach is developed in order to improve hierarchical segmentation procedure, to better induce object discrimination. Each one of the referred objects will be segmented in separate. The road network segmentation will have in consideration the previous result of roof-tile buildings extraction. Finally, segmented objects will be compared with other extraction results in order to do proper validation. The method is applied over high-resolution ortho-rectified images, taken from satellite, of the city of Lisbon. Results will show the practicality of the method for purposes of cartographic data structures acquisition, from highresolution satellite imagery, aiming urban management and GIS applications.pt_BR
dc.description.sponsorshipfctpt_BR
dc.language.isoengpt_BR
dc.publisherGEOBIApt_BR
dc.rightsrestrictedAccesspt_BR
dc.subjectHierarchical segmentationpt_BR
dc.subjectFeature extractionpt_BR
dc.subjectWatershed segmentationpt_BR
dc.subjectWaterfall segmentationpt_BR
dc.titleCartographic data extraction from airborne imagery by hierarchical-based morphologic image processingpt_BR
dc.typeworkingPaperpt_BR
dc.identifier.seminarioGEOBIA 2010pt_BR
dc.identifier.localGhent, Bélgicapt_BR
dc.description.sectorDBB/NGApt_BR
dc.identifier.proc0404/11/17722pt_BR
dc.description.year2010pt_BR
dc.description.data29 Junhopt_BR
Appears in Collections:DBB/NGA - Comunicações a congressos e artigos de revista

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