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

Detalhes bibliográficos
Autor(a) principal: Marcato Junior, J. [UNESP]
Data de Publicação: 2010
Outros Autores: Tommaselli, A. M.G. [UNESP], Medeiros, N. G., Oliveira, R. A. [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/227935
Resumo: China-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.
id UNSP_772b3ccc91ef11c073764d91a699f743
oai_identifier_str oai:repositorio.unesp.br:11449/227935
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Bundle block adjustment of cbers 2b hrc images using control linesCBERS imagesImage OrientationOrbital imagesPhotogrammetryPushbroomStraight linesChina-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.National Natural Science Foundation of ChinaDept. of Cartography, Unesp - Univ Estadual PaulistaDept. of Civil Engineering, Universidade Federal de Viçosa - UFVDept. of Cartography, Unesp - Univ Estadual PaulistaNational Natural Science Foundation of China: 60736010Universidade Estadual Paulista (UNESP)Universidade Federal de Viçosa (UFV)Marcato Junior, J. [UNESP]Tommaselli, A. M.G. [UNESP]Medeiros, N. G.Oliveira, R. A. [UNESP]2022-04-29T07:25:53Z2022-04-29T07:25:53Z2010-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjectInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 38.1682-1750http://hdl.handle.net/11449/2279352-s2.0-84923668670Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesinfo:eu-repo/semantics/openAccess2024-06-18T15:02:40Zoai:repositorio.unesp.br:11449/227935Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:46:42.031279Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Bundle block adjustment of cbers 2b hrc images using control lines
title Bundle block adjustment of cbers 2b hrc images using control lines
spellingShingle Bundle block adjustment of cbers 2b hrc images using control lines
Marcato Junior, J. [UNESP]
CBERS images
Image Orientation
Orbital images
Photogrammetry
Pushbroom
Straight lines
title_short Bundle block adjustment of cbers 2b hrc images using control lines
title_full Bundle block adjustment of cbers 2b hrc images using control lines
title_fullStr Bundle block adjustment of cbers 2b hrc images using control lines
title_full_unstemmed Bundle block adjustment of cbers 2b hrc images using control lines
title_sort Bundle block adjustment of cbers 2b hrc images using control lines
author Marcato Junior, J. [UNESP]
author_facet Marcato Junior, J. [UNESP]
Tommaselli, A. M.G. [UNESP]
Medeiros, N. G.
Oliveira, R. A. [UNESP]
author_role author
author2 Tommaselli, A. M.G. [UNESP]
Medeiros, N. G.
Oliveira, R. A. [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
Universidade Federal de Viçosa (UFV)
dc.contributor.author.fl_str_mv Marcato Junior, J. [UNESP]
Tommaselli, A. M.G. [UNESP]
Medeiros, N. G.
Oliveira, R. A. [UNESP]
dc.subject.por.fl_str_mv CBERS images
Image Orientation
Orbital images
Photogrammetry
Pushbroom
Straight lines
topic CBERS images
Image Orientation
Orbital images
Photogrammetry
Pushbroom
Straight lines
description China-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.
publishDate 2010
dc.date.none.fl_str_mv 2010-01-01
2022-04-29T07:25:53Z
2022-04-29T07:25:53Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 38.
1682-1750
http://hdl.handle.net/11449/227935
2-s2.0-84923668670
identifier_str_mv International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 38.
1682-1750
2-s2.0-84923668670
url http://hdl.handle.net/11449/227935
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808129247250743296

Registros relacionados