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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/75218
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dc.contributor.authorMarcato Junior, J.-
dc.contributor.authorTommaselli, A. M G-
dc.date.accessioned2014-05-27T11:29:01Z-
dc.date.accessioned2016-10-25T18:47:55Z-
dc.date.available2014-05-27T11:29:01Z-
dc.date.available2016-10-25T18:47:55Z-
dc.date.issued2013-05-01-
dc.identifierhttp://dx.doi.org/10.1016/j.isprsjprs.2013.02.018-
dc.identifier.citationISPRS Journal of Photogrammetry and Remote Sensing, v. 79, p. 219-225.-
dc.identifier.issn0924-2716-
dc.identifier.urihttp://hdl.handle.net/11449/75218-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/75218-
dc.description.abstractThe major contribution of this paper relates to the practical advantages of combining Ground Control Points (GCPs), Ground Control Lines (GCLs) and orbital data to estimate the exterior orientation parameters of images collected by CBERS-2B (China-Brazil Earth Resources Satellite) HRC (High-resolution Camera) and CCD (High-resolution CCD Camera) sensors. Although the CBERS-2B is no longer operational, its images are still being used in Brazil, and the next generations of the CBERS satellite will have sensors with similar technical features, which motivates the study presented in this paper. The mathematical models that relate the object and image spaces are based on collinearity (for points) and coplanarity (for lines) conditions. These models were created in an in-house developed software package called TMS (Triangulation with Multiple Sensors) with multi-feature control (GCPs and GCLs). Experiments on a block of four CBERS-2B HRC images and on one CBERS-2B CCD image were performed using both models. It was observed that the combination of GCPs and GCLs provided better bundle block adjustment results than conventional bundle adjustment using only GCPs. The results also demonstrate the advantages of using primarily orbital data when the number of control entities is reduced. © 2013 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).en
dc.format.extent219-225-
dc.language.isoeng-
dc.sourceScopus-
dc.subjectOrientation-
dc.subjectPushbroom-
dc.subjectSatellite-
dc.subjectStraight lines-
dc.subjectTriangulation-
dc.subjectBundle block adjustments-
dc.subjectChina-brazil earth resources satellites-
dc.subjectExterior orientation-
dc.subjectExterior orientation parameters-
dc.subjectGround control points-
dc.subjectHigh resolution camera-
dc.subjectCrystal orientation-
dc.subjectMathematical models-
dc.subjectRock mechanics-
dc.subjectSatellites-
dc.subjectSensors-
dc.subjectCCD cameras-
dc.subjectestimation method-
dc.subjectmathematical analysis-
dc.subjectnumerical model-
dc.subjectorientation-
dc.subjectremote sensing-
dc.subjectresolution-
dc.subjectsatellite data-
dc.subjectsatellite imagery-
dc.subjecttriangulation-
dc.subjectBrazil-
dc.subjectChina-
dc.titleExterior orientation of CBERS-2B imagery using multi-feature control and orbital dataen
dc.typeoutro-
dc.contributor.institutionUniversidade Federal de Mato Grosso do Sul (UFMS)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationCentro de Ciências Exatas e Tecnologia - CCET UFMS - Universidade Federal de Mato Grosso do Sul, Campus Universitário, 79070-900 Campo Grande-
dc.description.affiliationDepartment of Cartography Universidade Estadual Paulista (UNESP), Rua Roberto Simonsen 305, 19060-900 Presidente Prudente-
dc.description.affiliationUnespDepartment of Cartography Universidade Estadual Paulista (UNESP), Rua Roberto Simonsen 305, 19060-900 Presidente Prudente-
dc.identifier.doi10.1016/j.isprsjprs.2013.02.018-
dc.identifier.wosWOS:000318889600018-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofISPRS Journal of Photogrammetry and Remote Sensing-
dc.identifier.scopus2-s2.0-84875770587-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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