Publicação:
Exterior orientation of CBERS-2B imagery using multi-feature control and orbital data

dc.contributor.authorMarcato Junior, J.
dc.contributor.authorTommaselli, A. M G [UNESP]
dc.contributor.institutionUniversidade Federal de Mato Grosso do Sul (UFMS)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:29:01Z
dc.date.available2014-05-27T11:29:01Z
dc.date.issued2013-05-01
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.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.format.extent219-225
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.doi10.1016/j.isprsjprs.2013.02.018
dc.identifier.issn0924-2716
dc.identifier.scopus2-s2.0-84875770587
dc.identifier.urihttp://hdl.handle.net/11449/75218
dc.identifier.wosWOS:000318889600018
dc.language.isoeng
dc.relation.ispartofISPRS Journal of Photogrammetry and Remote Sensing
dc.relation.ispartofjcr5.994
dc.relation.ispartofsjr3,169
dc.rights.accessRightsAcesso restrito
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.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dspace.entity.typePublication
unesp.author.lattes5493428631948910[2]
unesp.author.orcid0000-0003-0483-1103[2]
unesp.author.orcid0000-0002-9096-6866[1]
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Ciências e Tecnologia, Presidente Prudentept
unesp.departmentCartografia - FCTpt

Arquivos