Monitoring the condition of roads pavement surfaces: proposal of methodology using hyperspectral images
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Journal of Transport Literature |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2238-10312014000200009 |
Resumo: | With the current system of concession roads in Brazil, both concessionaires and regulatory agents have been charged with improving the quality of the pavement on Brazilian highways. This situation requires the search for new tools that can facilitate the survey of pavement conditions in less time and at a lower cost than traditional methods. Recently, an increasing number of high-resolution spatial images have become available on the world market following the development of new remote sensing satellites and airborne sensors. Similarly, multispectral images and even hyperspectral images are now available commercially and for scientific research. The paper presents a new methodology for the identification of asphalted pavement surfaces condition and the classification of the main types of asphalt defects using hyperspectral images from airborne digital sensors. The objective of this study was to generate indexes of pavement conditions from images that can be compared with the indicators of pavement surface conditions already used by national regulatory agencies. |
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Journal of Transport Literature |
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Monitoring the condition of roads pavement surfaces: proposal of methodology using hyperspectral imagespavementsremote sensingasphalthyperspectralclassificationWith the current system of concession roads in Brazil, both concessionaires and regulatory agents have been charged with improving the quality of the pavement on Brazilian highways. This situation requires the search for new tools that can facilitate the survey of pavement conditions in less time and at a lower cost than traditional methods. Recently, an increasing number of high-resolution spatial images have become available on the world market following the development of new remote sensing satellites and airborne sensors. Similarly, multispectral images and even hyperspectral images are now available commercially and for scientific research. The paper presents a new methodology for the identification of asphalted pavement surfaces condition and the classification of the main types of asphalt defects using hyperspectral images from airborne digital sensors. The objective of this study was to generate indexes of pavement conditions from images that can be compared with the indicators of pavement surface conditions already used by national regulatory agencies.Sociedade Brasileira de Planejamento dos Transportes2014-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2238-10312014000200009Journal of Transport Literature v.8 n.2 2014reponame:Journal of Transport Literatureinstname:Sociedade Brasileira de Planejamento dos Transportes (SBPT)instacron:SBPTR10.1590/S2238-10312014000200009info:eu-repo/semantics/openAccessResende,Marcos RibeiroBernucci,Liedi Legi BarianiQuintanilha,José Albertoeng2014-02-05T00:00:00Zoai:scielo:S2238-10312014000200009Revistahttp://www.journal-of-transport-literature.org/https://old.scielo.br/oai/scielo-oai.php||alessandro.oliveira@pq.cnpq.br|| editor.jtl@gmail.com2238-10312238-1031opendoar:2014-02-05T00:00Journal of Transport Literature - Sociedade Brasileira de Planejamento dos Transportes (SBPT)false |
dc.title.none.fl_str_mv |
Monitoring the condition of roads pavement surfaces: proposal of methodology using hyperspectral images |
title |
Monitoring the condition of roads pavement surfaces: proposal of methodology using hyperspectral images |
spellingShingle |
Monitoring the condition of roads pavement surfaces: proposal of methodology using hyperspectral images Resende,Marcos Ribeiro pavements remote sensing asphalt hyperspectral classification |
title_short |
Monitoring the condition of roads pavement surfaces: proposal of methodology using hyperspectral images |
title_full |
Monitoring the condition of roads pavement surfaces: proposal of methodology using hyperspectral images |
title_fullStr |
Monitoring the condition of roads pavement surfaces: proposal of methodology using hyperspectral images |
title_full_unstemmed |
Monitoring the condition of roads pavement surfaces: proposal of methodology using hyperspectral images |
title_sort |
Monitoring the condition of roads pavement surfaces: proposal of methodology using hyperspectral images |
author |
Resende,Marcos Ribeiro |
author_facet |
Resende,Marcos Ribeiro Bernucci,Liedi Legi Bariani Quintanilha,José Alberto |
author_role |
author |
author2 |
Bernucci,Liedi Legi Bariani Quintanilha,José Alberto |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Resende,Marcos Ribeiro Bernucci,Liedi Legi Bariani Quintanilha,José Alberto |
dc.subject.por.fl_str_mv |
pavements remote sensing asphalt hyperspectral classification |
topic |
pavements remote sensing asphalt hyperspectral classification |
description |
With the current system of concession roads in Brazil, both concessionaires and regulatory agents have been charged with improving the quality of the pavement on Brazilian highways. This situation requires the search for new tools that can facilitate the survey of pavement conditions in less time and at a lower cost than traditional methods. Recently, an increasing number of high-resolution spatial images have become available on the world market following the development of new remote sensing satellites and airborne sensors. Similarly, multispectral images and even hyperspectral images are now available commercially and for scientific research. The paper presents a new methodology for the identification of asphalted pavement surfaces condition and the classification of the main types of asphalt defects using hyperspectral images from airborne digital sensors. The objective of this study was to generate indexes of pavement conditions from images that can be compared with the indicators of pavement surface conditions already used by national regulatory agencies. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-04-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2238-10312014000200009 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2238-10312014000200009 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S2238-10312014000200009 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Planejamento dos Transportes |
publisher.none.fl_str_mv |
Sociedade Brasileira de Planejamento dos Transportes |
dc.source.none.fl_str_mv |
Journal of Transport Literature v.8 n.2 2014 reponame:Journal of Transport Literature instname:Sociedade Brasileira de Planejamento dos Transportes (SBPT) instacron:SBPTR |
instname_str |
Sociedade Brasileira de Planejamento dos Transportes (SBPT) |
instacron_str |
SBPTR |
institution |
SBPTR |
reponame_str |
Journal of Transport Literature |
collection |
Journal of Transport Literature |
repository.name.fl_str_mv |
Journal of Transport Literature - Sociedade Brasileira de Planejamento dos Transportes (SBPT) |
repository.mail.fl_str_mv |
||alessandro.oliveira@pq.cnpq.br|| editor.jtl@gmail.com |
_version_ |
1750318362611679232 |