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dc.contributor.authorOliveira, Henrique Candido de [UNESP]
dc.contributor.authorGalo, Mauricio [UNESP]
dc.contributor.authorDal Poz, Aluir Porfirio [UNESP]
dc.date.accessioned2018-11-26T16:17:21Z
dc.date.available2018-11-26T16:17:21Z
dc.date.issued2015-11-01
dc.identifierhttp://dx.doi.org/10.1109/LGRS.2015.2459671
dc.identifier.citationIeee Geoscience And Remote Sensing Letters. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 12, n. 11, p. 2222-2226, 2015.
dc.identifier.issn1545-598X
dc.identifier.urihttp://hdl.handle.net/11449/160944
dc.description.abstractHigh-quality orthophotos are essential elements in cartographic databases that are required for engineering projects. Urban areas usually have many tall buildings, causing occlusions in aerial images. These occlusions can be severe depending on the height of the buildings, geometry of the imaging system, and image acquisition viewpoint. A product where no occlusion areas appear is called true orthophoto, and occlusion detection is a key step in its generation. This process requires a set of aerial images and surface representation, together with metadata and acquisition system information. This letter addresses a new approach for occlusion detection. The central idea that allows the development of the proposed method is based on the analysis of the surface height gradient at certain sampled directions, guiding the identification of occluded regions in the aerial images. A novel metric is introduced based on the height gradient computed along an available digital surface model, which can be obtained by different techniques. The refinement of the occlusion area is made by applying one morphological operator, aiming to fill some gaps in the detected occlusion areas. In order to validate the proposed approach, simulated and real data were used. The quality assessment was based on both visual and numerical analyses. For this methodology, the numerical analysis showed high completeness and correctness values, indicating that the proposed approach works properly.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.format.extent2222-2226
dc.language.isoeng
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Geoscience And Remote Sensing Letters
dc.sourceWeb of Science
dc.subjectHeight gradient
dc.subjectlight detection and ranging (LiDAR)
dc.subjectocclusion detection
dc.subjecttrue orthophoto
dc.titleHeight-Gradient-Based Method for Occlusion Detection in True Orthophoto Generationen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee-inst Electrical Electronics Engineers Inc
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.description.affiliationSao Paulo State Univ, Grad Program Cartog Sci, BR-19060900 Presidente Prudente, SP, Brazil
dc.description.affiliationSao Paulo State Univ, Dept Cartog, BR-19060900 Presidente Prudente, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Grad Program Cartog Sci, BR-19060900 Presidente Prudente, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Dept Cartog, BR-19060900 Presidente Prudente, SP, Brazil
dc.identifier.doi10.1109/LGRS.2015.2459671
dc.identifier.wosWOS:000364215500009
dc.rights.accessRightsAcesso aberto
dc.description.sponsorshipIdFAPESP: 2013/21647-2
dc.identifier.fileWOS000364215500009.pdf
unesp.author.orcid0000-0002-0104-9960[2]
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