Automatic absolute orientation of scanned aerial photographs

dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:25:48Z
dc.date.available2014-05-20T15:25:48Z
dc.date.created2014-05-20T15:25:48Z
dc.date.issued1998-01-01
dc.identifierSibgrapi '98 - International Symposium on Computer Graphics, Image Processing, and Vision, Proceedings. Los Alamitos: IEEE Computer Soc, p. 295-302, 1998.
dc.identifierhttp://hdl.handle.net/11449/36141
dc.identifier10.1109/SIBGRA.1998.722763
dc.identifierWOS:000076805000039
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.
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE), Computer Soc
dc.relationSibgrapi '98 - International Symposium on Computer Graphics, Image Processing, and Vision, Proceedings
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectcartography
dc.subjectDigital Photogrammetry
dc.subjectautomation
dc.subjectmatching
dc.subjectstraight feature
dc.titleAutomatic absolute orientation of scanned aerial photographs
dc.typeActas de congresos


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