Multi-scale matching for the automatic location of control points in large scale aerial images using terrestrial scenes
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.5194/isprsarchives-XL-3-W1-27-2014 http://hdl.handle.net/11449/171797 |
Resumo: | A technique to automatically locate Ground Control Points (GCPs) in large aerial images is presented considering the availability of low accuracy direct georeferencing data. The approach is based on image chips of GCPs extracted from vertical terrestrial images. A strategy combining image matching techniques was implemented to select correct matches. These matches were used to define a 2D transformation with which the GCP is projected close to its correct position, reducing the search space in the aerial image. Area-based matching with some refinements is used to locate GCPs with sub-pixel precision. Experiments were performed with multi-scale images and assessed with a bundle block adjustment simulating an indirect sensor orientation. The accuracy analysis was accomplished based on discrepancies obtained from GCPs and check points. The results were better than interactive measurements and a planimetric accuracy of 1/5 of the Ground Sample Distance (GSD) for the check points was achieved. |
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Repositório Institucional da UNESP |
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Multi-scale matching for the automatic location of control points in large scale aerial images using terrestrial scenesBundle adjustmentImage chipOrientationPhotogrammetrySIFTA technique to automatically locate Ground Control Points (GCPs) in large aerial images is presented considering the availability of low accuracy direct georeferencing data. The approach is based on image chips of GCPs extracted from vertical terrestrial images. A strategy combining image matching techniques was implemented to select correct matches. These matches were used to define a 2D transformation with which the GCP is projected close to its correct position, reducing the search space in the aerial image. Area-based matching with some refinements is used to locate GCPs with sub-pixel precision. Experiments were performed with multi-scale images and assessed with a bundle block adjustment simulating an indirect sensor orientation. The accuracy analysis was accomplished based on discrepancies obtained from GCPs and check points. The results were better than interactive measurements and a planimetric accuracy of 1/5 of the Ground Sample Distance (GSD) for the check points was achieved.Graduate Program in Cartographic Sciences, Univ Estadual Paulista-UNESP, Faculty of Science and TechnologyDepartment of Cartography, Univ Estadual Paulista-UNESP, Faculty of Science and TechnologyGraduate Program in Cartographic Sciences, Univ Estadual Paulista-UNESP, Faculty of Science and TechnologyDepartment of Cartography, Univ Estadual Paulista-UNESP, Faculty of Science and TechnologyUniversidade Estadual Paulista (Unesp)Berveglieri, A. [UNESP]Tommaselli, A. M G [UNESP]2018-12-11T16:57:11Z2018-12-11T16:57:11Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject27-31application/pdfhttp://dx.doi.org/10.5194/isprsarchives-XL-3-W1-27-2014International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 40, n. 3W1, p. 27-31, 2014.1682-1750http://hdl.handle.net/11449/17179710.5194/isprsarchives-XL-3-W1-27-20142-s2.0-849241081602-s2.0-84924108160.pdfScopusreponame: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/openAccess2024-06-18T15:02:38Zoai:repositorio.unesp.br:11449/171797Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:02:38Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Multi-scale matching for the automatic location of control points in large scale aerial images using terrestrial scenes |
title |
Multi-scale matching for the automatic location of control points in large scale aerial images using terrestrial scenes |
spellingShingle |
Multi-scale matching for the automatic location of control points in large scale aerial images using terrestrial scenes Berveglieri, A. [UNESP] Bundle adjustment Image chip Orientation Photogrammetry SIFT |
title_short |
Multi-scale matching for the automatic location of control points in large scale aerial images using terrestrial scenes |
title_full |
Multi-scale matching for the automatic location of control points in large scale aerial images using terrestrial scenes |
title_fullStr |
Multi-scale matching for the automatic location of control points in large scale aerial images using terrestrial scenes |
title_full_unstemmed |
Multi-scale matching for the automatic location of control points in large scale aerial images using terrestrial scenes |
title_sort |
Multi-scale matching for the automatic location of control points in large scale aerial images using terrestrial scenes |
author |
Berveglieri, A. [UNESP] |
author_facet |
Berveglieri, A. [UNESP] Tommaselli, A. M G [UNESP] |
author_role |
author |
author2 |
Tommaselli, A. M G [UNESP] |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Berveglieri, A. [UNESP] Tommaselli, A. M G [UNESP] |
dc.subject.por.fl_str_mv |
Bundle adjustment Image chip Orientation Photogrammetry SIFT |
topic |
Bundle adjustment Image chip Orientation Photogrammetry SIFT |
description |
A technique to automatically locate Ground Control Points (GCPs) in large aerial images is presented considering the availability of low accuracy direct georeferencing data. The approach is based on image chips of GCPs extracted from vertical terrestrial images. A strategy combining image matching techniques was implemented to select correct matches. These matches were used to define a 2D transformation with which the GCP is projected close to its correct position, reducing the search space in the aerial image. Area-based matching with some refinements is used to locate GCPs with sub-pixel precision. Experiments were performed with multi-scale images and assessed with a bundle block adjustment simulating an indirect sensor orientation. The accuracy analysis was accomplished based on discrepancies obtained from GCPs and check points. The results were better than interactive measurements and a planimetric accuracy of 1/5 of the Ground Sample Distance (GSD) for the check points was achieved. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-01-01 2018-12-11T16:57:11Z 2018-12-11T16:57:11Z |
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 |
http://dx.doi.org/10.5194/isprsarchives-XL-3-W1-27-2014 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 40, n. 3W1, p. 27-31, 2014. 1682-1750 http://hdl.handle.net/11449/171797 10.5194/isprsarchives-XL-3-W1-27-2014 2-s2.0-84924108160 2-s2.0-84924108160.pdf |
url |
http://dx.doi.org/10.5194/isprsarchives-XL-3-W1-27-2014 http://hdl.handle.net/11449/171797 |
identifier_str_mv |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 40, n. 3W1, p. 27-31, 2014. 1682-1750 10.5194/isprsarchives-XL-3-W1-27-2014 2-s2.0-84924108160 2-s2.0-84924108160.pdf |
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.format.none.fl_str_mv |
27-31 application/pdf |
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_ |
1803045351717863424 |