Development and Assessment of a Data Set[-2pt] Containing Frame Images and Dense Airborne Laser Scanning Point Clouds
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/LGRS.2017.2779559 http://hdl.handle.net/11449/177085 |
Resumo: | This letter describes the main features of a data set that contains aerial images acquired with a medium format digital camera and point clouds collected using an airborne laser scanning unit, as well as ground control points and direct georeferencing data. The flights were performed in 2014 over an urban area in Presidente Prudente, São Paulo, Brazil, using different flight heights. These flights covered several features of interest for research, including buildings of different sizes and roof materials, roads, and vegetation. Three point clouds with different densities, a block of digital aerial images, and auxiliary data are available. A geometric assessment was conducted to ensure the accuracy and consistency of the data, and an RMSE of 7 cm was achieved using bundle block adjustment. The data set is freely available for download, and it will be expanded with data collected over time. |
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Development and Assessment of a Data Set[-2pt] Containing Frame Images and Dense Airborne Laser Scanning Point CloudsAirborne laser scannerAircraftCamerasdata setdigital aerial imagesGlobal navigation satellite systemLaserspoint clouds.ReceiversThree-dimensional displaysVegetationThis letter describes the main features of a data set that contains aerial images acquired with a medium format digital camera and point clouds collected using an airborne laser scanning unit, as well as ground control points and direct georeferencing data. The flights were performed in 2014 over an urban area in Presidente Prudente, São Paulo, Brazil, using different flight heights. These flights covered several features of interest for research, including buildings of different sizes and roof materials, roads, and vegetation. Three point clouds with different densities, a block of digital aerial images, and auxiliary data are available. A geometric assessment was conducted to ensure the accuracy and consistency of the data, and an RMSE of 7 cm was achieved using bundle block adjustment. The data set is freely available for download, and it will be expanded with data collected over time.Department of Cartography, São Paulo State University, Presidente Prudente 19060-900, Brazil (e-mail: tomaseli@fct.unesp.br).Department of Cartography, São Paulo State University, Presidente Prudente 19060-900, Brazil.SensorMap Company, Assis 19806-060, Brazil.Engemap Company, Assis 19806-060, Brazil.Universidade Estadual Paulista (Unesp)Tommaselli, Antonio Maria GarciaGalo, Mauriciodos Reis, Thiago TiedtkeRuy, Roberto da Silvade Moraes, Marcus Vinicius AntunesMatricardi, Wander Vieira2018-12-11T17:23:56Z2018-12-11T17:23:56Z2017-12-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1109/LGRS.2017.2779559IEEE Geoscience and Remote Sensing Letters.1545-598Xhttp://hdl.handle.net/11449/17708510.1109/LGRS.2017.27795592-s2.0-850412197102-s2.0-85041219710.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Geoscience and Remote Sensing Lettersinfo:eu-repo/semantics/openAccess2024-06-18T15:01:38Zoai:repositorio.unesp.br:11449/177085Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:01:38Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Development and Assessment of a Data Set[-2pt] Containing Frame Images and Dense Airborne Laser Scanning Point Clouds |
title |
Development and Assessment of a Data Set[-2pt] Containing Frame Images and Dense Airborne Laser Scanning Point Clouds |
spellingShingle |
Development and Assessment of a Data Set[-2pt] Containing Frame Images and Dense Airborne Laser Scanning Point Clouds Tommaselli, Antonio Maria Garcia Airborne laser scanner Aircraft Cameras data set digital aerial images Global navigation satellite system Lasers point clouds. Receivers Three-dimensional displays Vegetation |
title_short |
Development and Assessment of a Data Set[-2pt] Containing Frame Images and Dense Airborne Laser Scanning Point Clouds |
title_full |
Development and Assessment of a Data Set[-2pt] Containing Frame Images and Dense Airborne Laser Scanning Point Clouds |
title_fullStr |
Development and Assessment of a Data Set[-2pt] Containing Frame Images and Dense Airborne Laser Scanning Point Clouds |
title_full_unstemmed |
Development and Assessment of a Data Set[-2pt] Containing Frame Images and Dense Airborne Laser Scanning Point Clouds |
title_sort |
Development and Assessment of a Data Set[-2pt] Containing Frame Images and Dense Airborne Laser Scanning Point Clouds |
author |
Tommaselli, Antonio Maria Garcia |
author_facet |
Tommaselli, Antonio Maria Garcia Galo, Mauricio dos Reis, Thiago Tiedtke Ruy, Roberto da Silva de Moraes, Marcus Vinicius Antunes Matricardi, Wander Vieira |
author_role |
author |
author2 |
Galo, Mauricio dos Reis, Thiago Tiedtke Ruy, Roberto da Silva de Moraes, Marcus Vinicius Antunes Matricardi, Wander Vieira |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Tommaselli, Antonio Maria Garcia Galo, Mauricio dos Reis, Thiago Tiedtke Ruy, Roberto da Silva de Moraes, Marcus Vinicius Antunes Matricardi, Wander Vieira |
dc.subject.por.fl_str_mv |
Airborne laser scanner Aircraft Cameras data set digital aerial images Global navigation satellite system Lasers point clouds. Receivers Three-dimensional displays Vegetation |
topic |
Airborne laser scanner Aircraft Cameras data set digital aerial images Global navigation satellite system Lasers point clouds. Receivers Three-dimensional displays Vegetation |
description |
This letter describes the main features of a data set that contains aerial images acquired with a medium format digital camera and point clouds collected using an airborne laser scanning unit, as well as ground control points and direct georeferencing data. The flights were performed in 2014 over an urban area in Presidente Prudente, São Paulo, Brazil, using different flight heights. These flights covered several features of interest for research, including buildings of different sizes and roof materials, roads, and vegetation. Three point clouds with different densities, a block of digital aerial images, and auxiliary data are available. A geometric assessment was conducted to ensure the accuracy and consistency of the data, and an RMSE of 7 cm was achieved using bundle block adjustment. The data set is freely available for download, and it will be expanded with data collected over time. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-12-28 2018-12-11T17:23:56Z 2018-12-11T17:23:56Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/LGRS.2017.2779559 IEEE Geoscience and Remote Sensing Letters. 1545-598X http://hdl.handle.net/11449/177085 10.1109/LGRS.2017.2779559 2-s2.0-85041219710 2-s2.0-85041219710.pdf |
url |
http://dx.doi.org/10.1109/LGRS.2017.2779559 http://hdl.handle.net/11449/177085 |
identifier_str_mv |
IEEE Geoscience and Remote Sensing Letters. 1545-598X 10.1109/LGRS.2017.2779559 2-s2.0-85041219710 2-s2.0-85041219710.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Geoscience and Remote Sensing Letters |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
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 |
|
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1803045366483910656 |