Strategy to detect ground control in digital images

Detalhes bibliográficos
Autor(a) principal: Dal Poz, A. P.
Data de Publicação: 1998
Outros Autores: Tommaselli, AMG
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1117/12.323861
http://hdl.handle.net/11449/38262
Resumo: The identification of ground control on photographs or images is usually carried out by a human operator, who uses his natural skills to make interpretations. In Digital Photogrammetry, which uses techniques of digital image processing extraction of ground control can be automated by using an approach based on relational matching and a heuristic that uses the analytical relation between straight features of object space and its homologous in the image space. A build-in self-diagnosis is also used in this method. It is based on implementation of data snooping statistic test in the process of spatial resection using the Iterated Extended Kalman Filtering (IEKF). The aim of this paper is to present the basic principles of the proposed approach and results based on real data.
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spelling Strategy to detect ground control in digital imagesphotogrammetryvisionautomationmatchingmodelingpatternThe identification of ground control on photographs or images is usually carried out by a human operator, who uses his natural skills to make interpretations. In Digital Photogrammetry, which uses techniques of digital image processing extraction of ground control can be automated by using an approach based on relational matching and a heuristic that uses the analytical relation between straight features of object space and its homologous in the image space. A build-in self-diagnosis is also used in this method. It is based on implementation of data snooping statistic test in the process of spatial resection using the Iterated Extended Kalman Filtering (IEKF). The aim of this paper is to present the basic principles of the proposed approach and results based on real data.São Paulo State Univ, BR-19060900 Presidente Prudente, SP, BrazilSão Paulo State Univ, BR-19060900 Presidente Prudente, SP, BrazilSpie - Int Soc Optical EngineeringUniversidade Estadual Paulista (Unesp)Dal Poz, A. P.Tommaselli, AMG2014-05-20T15:28:28Z2014-05-20T15:28:28Z1998-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject436-447http://dx.doi.org/10.1117/12.323861Automatic Target Recognition Viii. Bellingham: Spie-int Soc Optical Engineering, v. 3371, p. 436-447, 1998.0277-786Xhttp://hdl.handle.net/11449/3826210.1117/12.323861WOS:000076932900044Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAutomatic Target Recognition Viiiinfo:eu-repo/semantics/openAccess2024-06-18T18:18:37Zoai:repositorio.unesp.br:11449/38262Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:57:44.581462Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Strategy to detect ground control in digital images
title Strategy to detect ground control in digital images
spellingShingle Strategy to detect ground control in digital images
Dal Poz, A. P.
photogrammetry
vision
automation
matching
modeling
pattern
title_short Strategy to detect ground control in digital images
title_full Strategy to detect ground control in digital images
title_fullStr Strategy to detect ground control in digital images
title_full_unstemmed Strategy to detect ground control in digital images
title_sort Strategy to detect ground control in digital images
author Dal Poz, A. P.
author_facet Dal Poz, A. P.
Tommaselli, AMG
author_role author
author2 Tommaselli, AMG
author2_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Dal Poz, A. P.
Tommaselli, AMG
dc.subject.por.fl_str_mv photogrammetry
vision
automation
matching
modeling
pattern
topic photogrammetry
vision
automation
matching
modeling
pattern
description The identification of ground control on photographs or images is usually carried out by a human operator, who uses his natural skills to make interpretations. In Digital Photogrammetry, which uses techniques of digital image processing extraction of ground control can be automated by using an approach based on relational matching and a heuristic that uses the analytical relation between straight features of object space and its homologous in the image space. A build-in self-diagnosis is also used in this method. It is based on implementation of data snooping statistic test in the process of spatial resection using the Iterated Extended Kalman Filtering (IEKF). The aim of this paper is to present the basic principles of the proposed approach and results based on real data.
publishDate 1998
dc.date.none.fl_str_mv 1998-01-01
2014-05-20T15:28:28Z
2014-05-20T15:28:28Z
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/10.1117/12.323861
Automatic Target Recognition Viii. Bellingham: Spie-int Soc Optical Engineering, v. 3371, p. 436-447, 1998.
0277-786X
http://hdl.handle.net/11449/38262
10.1117/12.323861
WOS:000076932900044
url http://dx.doi.org/10.1117/12.323861
http://hdl.handle.net/11449/38262
identifier_str_mv Automatic Target Recognition Viii. Bellingham: Spie-int Soc Optical Engineering, v. 3371, p. 436-447, 1998.
0277-786X
10.1117/12.323861
WOS:000076932900044
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Automatic Target Recognition Viii
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 436-447
dc.publisher.none.fl_str_mv Spie - Int Soc Optical Engineering
publisher.none.fl_str_mv Spie - Int Soc Optical Engineering
dc.source.none.fl_str_mv Web of Science
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_ 1808129003910856704

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