Bundle block adjustment of cbers 2b hrc images using control lines

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dc.contributor.authorMarcato Junior, J. [UNESP]
dc.contributor.authorTommaselli, A. M.G. [UNESP]
dc.contributor.authorMedeiros, N. G.
dc.contributor.authorOliveira, R. A. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUniversidade Federal de Viçosa (UFV)
dc.date.accessioned2022-04-29T07:25:53Z
dc.date.available2022-04-29T07:25:53Z
dc.date.issued2010-01-01
dc.description.abstractChina-Brazil Earth Resources Satellite (CBERS) images present strategic importance for Brazil, providing support in several applications such as deforestation management and fire control, mainly in Amazon region. CBERS 2B carries three imagery sensors: High Resolution Camera (HRC), CCD Camera and Wide Field Imager (WFI), which provide images with GSD of 2.5 meters (m), 20 m and 260 m, respectively. One problem with these images is the accuracy of their georreferencing, being necessary to correct them with ground control information. Although points are generally used as control elements in spatio-triangulation, some advantages motivate the use of linear features in Photogrammetry, including the plenty of this feature in man-made environments and the improvement of the robustness and geometric strength in bundle block adjustment. The aim of this work is to experimentally assess a block adjustment method based on linear features with CBERS 2B HRC images. The model being used states the coplanarity condition between the projection ray in the image and the projection plane in the object space. This model was implemented in the TMS (Triangulation with multi sensors) software that uses multifeatures control (points and lines). Experiments using a block composed by four CBERS 2B HRC images from two adjacent orbits were carried out and the results showed that the model based on straight lines works successfully in spatio-triangulation with CBERS 2B HRC images providing better results when compared to those obtained by triangulation with collinearity model, based on points.en
dc.description.affiliationDept. of Cartography, Unesp - Univ Estadual Paulista
dc.description.affiliationDept. of Civil Engineering, Universidade Federal de Viçosa - UFV
dc.description.affiliationUnespDept. of Cartography, Unesp - Univ Estadual Paulista
dc.description.sponsorshipNational Natural Science Foundation of China
dc.description.sponsorshipIdNational Natural Science Foundation of China: 60736010
dc.identifier.citationInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 38.
dc.identifier.issn1682-1750
dc.identifier.scopus2-s2.0-84923668670
dc.identifier.urihttp://hdl.handle.net/11449/227935
dc.language.isoeng
dc.relation.ispartofInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.sourceScopus
dc.subjectCBERS images
dc.subjectImage Orientation
dc.subjectOrbital images
dc.subjectPhotogrammetry
dc.subjectPushbroom
dc.subjectStraight lines
dc.titleBundle block adjustment of cbers 2b hrc images using control linesen
dc.typeTrabalho apresentado em evento
unesp.departmentCartografia - FCTpt

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