Comparison between airborne lidar data and digital image matching for surface reconstruction
Autor(a) principal: | |
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Data de Publicação: | 2020 |
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/isprs-archives-XLII-3-W12-2020-509-2020 http://hdl.handle.net/11449/206941 |
Resumo: | Nowadays some aerial surveying projects (both manned or not) might integrate imagery and ranging sensor technology, thus allowing both the reconstruction of the surface from airborne laser scanning (ALS) and from the Photogrammetric pipeline through digital image matching (DIM). DIM algorithms have been continuously improved, therefore comparisons to other techniques such as ALS must be conducted. Despite the scientific community efforts, there are few evaluations regarding the extraction of building roofs using point clouds derived from both ALS and imagery. In this sense, this study provides a brief comparison between ALS and DIM point clouds and the accuracy that can be achieved in surface reconstruction and building roofs extraction. The experiments indicated that in some situations such as the building roof shape extraction, the accuracy is similar between these techniques, however, this is not valid for vertical accuracy, where larger differences were observed. |
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Repositório Institucional da UNESP |
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Comparison between airborne lidar data and digital image matching for surface reconstructionAirborne laser scanningDigital image matchingPoint cloudSurface reconstructionNowadays some aerial surveying projects (both manned or not) might integrate imagery and ranging sensor technology, thus allowing both the reconstruction of the surface from airborne laser scanning (ALS) and from the Photogrammetric pipeline through digital image matching (DIM). DIM algorithms have been continuously improved, therefore comparisons to other techniques such as ALS must be conducted. Despite the scientific community efforts, there are few evaluations regarding the extraction of building roofs using point clouds derived from both ALS and imagery. In this sense, this study provides a brief comparison between ALS and DIM point clouds and the accuracy that can be achieved in surface reconstruction and building roofs extraction. The experiments indicated that in some situations such as the building roof shape extraction, the accuracy is similar between these techniques, however, this is not valid for vertical accuracy, where larger differences were observed.Graduate Program in Cartographic Sciences - PPGCC São Paulo State University - UNESP Presidente PrudenteDept. of Cartography São Paulo State University - UNESP Presidente PrudenteGraduate Program in Cartographic Sciences - PPGCC São Paulo State University - UNESP Presidente PrudenteDept. of Cartography São Paulo State University - UNESP Presidente PrudenteUniversidade Estadual Paulista (Unesp)Carrilho, A. C. [UNESP]Dos Santos, R. C. [UNESP]Pessoa, G. G. [UNESP]Galo, M. [UNESP]2021-06-25T10:46:24Z2021-06-25T10:46:24Z2020-11-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject509-514http://dx.doi.org/10.5194/isprs-archives-XLII-3-W12-2020-509-2020International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 42, n. 3/W12, p. 509-514, 2020.1682-1750http://hdl.handle.net/11449/20694110.5194/isprs-archives-XLII-3-W12-2020-509-20202-s2.0-85097341388Scopusreponame: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/openAccess2024-06-18T15:02:08Zoai:repositorio.unesp.br:11449/206941Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:02:08Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Comparison between airborne lidar data and digital image matching for surface reconstruction |
title |
Comparison between airborne lidar data and digital image matching for surface reconstruction |
spellingShingle |
Comparison between airborne lidar data and digital image matching for surface reconstruction Carrilho, A. C. [UNESP] Airborne laser scanning Digital image matching Point cloud Surface reconstruction |
title_short |
Comparison between airborne lidar data and digital image matching for surface reconstruction |
title_full |
Comparison between airborne lidar data and digital image matching for surface reconstruction |
title_fullStr |
Comparison between airborne lidar data and digital image matching for surface reconstruction |
title_full_unstemmed |
Comparison between airborne lidar data and digital image matching for surface reconstruction |
title_sort |
Comparison between airborne lidar data and digital image matching for surface reconstruction |
author |
Carrilho, A. C. [UNESP] |
author_facet |
Carrilho, A. C. [UNESP] Dos Santos, R. C. [UNESP] Pessoa, G. G. [UNESP] Galo, M. [UNESP] |
author_role |
author |
author2 |
Dos Santos, R. C. [UNESP] Pessoa, G. G. [UNESP] Galo, M. [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Carrilho, A. C. [UNESP] Dos Santos, R. C. [UNESP] Pessoa, G. G. [UNESP] Galo, M. [UNESP] |
dc.subject.por.fl_str_mv |
Airborne laser scanning Digital image matching Point cloud Surface reconstruction |
topic |
Airborne laser scanning Digital image matching Point cloud Surface reconstruction |
description |
Nowadays some aerial surveying projects (both manned or not) might integrate imagery and ranging sensor technology, thus allowing both the reconstruction of the surface from airborne laser scanning (ALS) and from the Photogrammetric pipeline through digital image matching (DIM). DIM algorithms have been continuously improved, therefore comparisons to other techniques such as ALS must be conducted. Despite the scientific community efforts, there are few evaluations regarding the extraction of building roofs using point clouds derived from both ALS and imagery. In this sense, this study provides a brief comparison between ALS and DIM point clouds and the accuracy that can be achieved in surface reconstruction and building roofs extraction. The experiments indicated that in some situations such as the building roof shape extraction, the accuracy is similar between these techniques, however, this is not valid for vertical accuracy, where larger differences were observed. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-04 2021-06-25T10:46:24Z 2021-06-25T10:46:24Z |
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/isprs-archives-XLII-3-W12-2020-509-2020 International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 42, n. 3/W12, p. 509-514, 2020. 1682-1750 http://hdl.handle.net/11449/206941 10.5194/isprs-archives-XLII-3-W12-2020-509-2020 2-s2.0-85097341388 |
url |
http://dx.doi.org/10.5194/isprs-archives-XLII-3-W12-2020-509-2020 http://hdl.handle.net/11449/206941 |
identifier_str_mv |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 42, n. 3/W12, p. 509-514, 2020. 1682-1750 10.5194/isprs-archives-XLII-3-W12-2020-509-2020 2-s2.0-85097341388 |
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 |
509-514 |
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_ |
1803045287798767616 |