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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/36141
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dc.contributor.authorDal Poz, A. P.-
dc.contributor.authorTommaselli, AMG-
dc.contributor.authorCosta, LDF-
dc.contributor.authorCamara, G.-
dc.date.accessioned2014-05-20T15:25:48Z-
dc.date.accessioned2016-10-25T18:00:21Z-
dc.date.available2014-05-20T15:25:48Z-
dc.date.available2016-10-25T18:00:21Z-
dc.date.issued1998-01-01-
dc.identifierhttp://dx.doi.org/10.1109/SIBGRA.1998.722763-
dc.identifier.citationSibgrapi '98 - International Symposium on Computer Graphics, Image Processing, and Vision, Proceedings. Los Alamitos: IEEE Computer Soc, p. 295-302, 1998.-
dc.identifier.urihttp://hdl.handle.net/11449/36141-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/36141-
dc.description.abstractImage orientation is a basic problem in Digital Photogrammetry. While interior and relative orientations were succesfully automated, the same can not be said about absolute orientation. This process can be automated by using an approach based on relational matching and a heuristic that uses the analytical relation between straight features in the object space and its homologous in the image space. A build-in self-diagnosis is also used in this method, that is based on the implementation of data snooping statistic test in the process of spatial resection, using the Iterated Extended Kalman Filtering (IEKF). The aim of this paper is to present the basic principles of the proposed approach and results based on real data.en
dc.format.extent295-302-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE), Computer Soc-
dc.sourceWeb of Science-
dc.subjectcartographypt
dc.subjectDigital Photogrammetrypt
dc.subjectautomationpt
dc.subjectmatchingpt
dc.subjectstraight featurept
dc.titleAutomatic absolute orientation of scanned aerial photographsen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniv Estadual Paulista, UNESP, BR-19060900 Presidente Prudente, SP, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista, UNESP, BR-19060900 Presidente Prudente, SP, Brazil-
dc.identifier.doi10.1109/SIBGRA.1998.722763-
dc.identifier.wosWOS:000076805000039-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofSibgrapi '98 - International Symposium on Computer Graphics, Image Processing, and Vision, Proceedings-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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