Strategy to detect ground control in digital images

dc.contributorUniversidade Estadual Paulista (UNESP)
dc.creatorDal Poz, A. P.
dc.creatorTommaselli, AMG
dc.creatorSadjadi, F. A.
dc.date2014-05-20T15:28:28Z
dc.date2016-10-25T18:03:30Z
dc.date2014-05-20T15:28:28Z
dc.date2016-10-25T18:03:30Z
dc.date1998-01-01
dc.date.accessioned2017-04-06T00:07:18Z
dc.date.available2017-04-06T00:07:18Z
dc.identifierAutomatic Target Recognition Viii. Bellingham: Spie-int Soc Optical Engineering, v. 3371, p. 436-447, 1998.
dc.identifier0277-786X
dc.identifierhttp://hdl.handle.net/11449/38262
dc.identifierhttp://acervodigital.unesp.br/handle/11449/38262
dc.identifier10.1117/12.323861
dc.identifierWOS:000076932900044
dc.identifierhttp://dx.doi.org/10.1117/12.323861
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/881411
dc.descriptionThe identification of ground control on photographs or images is usually carried out by a human operator, who uses his natural skills to make interpretations. In Digital Photogrammetry, which uses techniques of digital image processing extraction of ground control can be automated by using an approach based on relational matching and a heuristic that uses the analytical relation between straight features of object space and its homologous in the image space. A build-in self-diagnosis is also used in this method. It is based on 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.publisherSpie - Int Soc Optical Engineering
dc.relationAutomatic Target Recognition Viii
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectphotogrammetry
dc.subjectvision
dc.subjectautomation
dc.subjectmatching
dc.subjectmodeling
dc.subjectpattern
dc.titleStrategy to detect ground control in digital images
dc.typeOtro


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