AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES

Detalhes bibliográficos
Autor(a) principal: Freitas, Vander Luis de Souza
Data de Publicação: 2017
Outros Autores: Reis, Barbara Maximino da Fonseca, Tommaselli, Antonio Maria Garcia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Boletim de Ciências Geodésicas
Texto Completo: https://revistas.ufpr.br/bcg/article/view/56798
Resumo: Shadows exist in almost all aerial and outdoor images, and they can be useful for estimating Sun position estimation or measuring object size. On the other hand, they represent a problem in processes such as object detection/recognition, image matching, etc., because they may be confused with dark objects and change the image radiometric properties. We address this problem on aerial and outdoor color images in this work. We use a filter to find low intensities as a first step. For outdoor color images, we analyze spectrum ratio properties to refine the detection, and the results are assessed with a dataset containing ground truth. For the aerial case we validate the detections depending of the hue component of pixels. This stage takes into account that, in deep shadows, most pixels have blue or violet wavelengths because of an atmospheric scattering effect.
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spelling AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGESAUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGESGeociências; GeodésiaShadow Detection; Aerial Images; Terrestrial ImagesGeociências; GeodésiaShadow Detection; Aerial Images; Terrestrial ImagesShadows exist in almost all aerial and outdoor images, and they can be useful for estimating Sun position estimation or measuring object size. On the other hand, they represent a problem in processes such as object detection/recognition, image matching, etc., because they may be confused with dark objects and change the image radiometric properties. We address this problem on aerial and outdoor color images in this work. We use a filter to find low intensities as a first step. For outdoor color images, we analyze spectrum ratio properties to refine the detection, and the results are assessed with a dataset containing ground truth. For the aerial case we validate the detections depending of the hue component of pixels. This stage takes into account that, in deep shadows, most pixels have blue or violet wavelengths because of an atmospheric scattering effect.Shadows exist in almost all aerial and outdoor images, and they can be useful for estimating Sun position estimation or measuring object size. On the other hand, they represent a problem in processes such as object detection/recognition, image matching, etc., because they may be confused with dark objects and change the image radiometric properties. We address this problem on aerial and outdoor color images in this work. We use a filter to find low intensities as a first step. For outdoor color images, we analyze spectrum ratio properties to refine the detection, and the results are assessed with a dataset containing ground truth. For the aerial case we validate the detections depending of the hue component of pixels. This stage takes into account that, in deep shadows, most pixels have blue or violet wavelengths because of an atmospheric scattering effect.Boletim de Ciências GeodésicasBulletin of Geodetic SciencesCNPq, CAPESCAPESCNPq.Freitas, Vander Luis de SouzaReis, Barbara Maximino da FonsecaTommaselli, Antonio Maria Garcia2017-12-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/56798Boletim de Ciências Geodésicas; Vol 23, No 4 (2017)Bulletin of Geodetic Sciences; Vol 23, No 4 (2017)1982-21701413-4853reponame:Boletim de Ciências Geodésicasinstname:Universidade Federal do Paraná (UFPR)instacron:UFPRenghttps://revistas.ufpr.br/bcg/article/view/56798/34173Copyright (c) 2017 Vander Luis de Souza Freitas, Barbara Maximino da Fonseca Reis, Antonio Maria Garcia Tommasellihttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess2017-12-13T14:13:03Zoai:revistas.ufpr.br:article/56798Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2017-12-13T14:13:03Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false
dc.title.none.fl_str_mv AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES
AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES
title AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES
spellingShingle AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES
Freitas, Vander Luis de Souza
Geociências; Geodésia
Shadow Detection; Aerial Images; Terrestrial Images
Geociências; Geodésia
Shadow Detection; Aerial Images; Terrestrial Images
title_short AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES
title_full AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES
title_fullStr AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES
title_full_unstemmed AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES
title_sort AUTOMATIC SHADOW DETECTION IN AERIAL AND TERRESTRIAL IMAGES
author Freitas, Vander Luis de Souza
author_facet Freitas, Vander Luis de Souza
Reis, Barbara Maximino da Fonseca
Tommaselli, Antonio Maria Garcia
author_role author
author2 Reis, Barbara Maximino da Fonseca
Tommaselli, Antonio Maria Garcia
author2_role author
author
dc.contributor.none.fl_str_mv CNPq, CAPES
CAPES
CNPq.
dc.contributor.author.fl_str_mv Freitas, Vander Luis de Souza
Reis, Barbara Maximino da Fonseca
Tommaselli, Antonio Maria Garcia
dc.subject.por.fl_str_mv Geociências; Geodésia
Shadow Detection; Aerial Images; Terrestrial Images
Geociências; Geodésia
Shadow Detection; Aerial Images; Terrestrial Images
topic Geociências; Geodésia
Shadow Detection; Aerial Images; Terrestrial Images
Geociências; Geodésia
Shadow Detection; Aerial Images; Terrestrial Images
description Shadows exist in almost all aerial and outdoor images, and they can be useful for estimating Sun position estimation or measuring object size. On the other hand, they represent a problem in processes such as object detection/recognition, image matching, etc., because they may be confused with dark objects and change the image radiometric properties. We address this problem on aerial and outdoor color images in this work. We use a filter to find low intensities as a first step. For outdoor color images, we analyze spectrum ratio properties to refine the detection, and the results are assessed with a dataset containing ground truth. For the aerial case we validate the detections depending of the hue component of pixels. This stage takes into account that, in deep shadows, most pixels have blue or violet wavelengths because of an atmospheric scattering effect.
publishDate 2017
dc.date.none.fl_str_mv 2017-12-08
dc.type.none.fl_str_mv

dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.ufpr.br/bcg/article/view/56798
url https://revistas.ufpr.br/bcg/article/view/56798
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://revistas.ufpr.br/bcg/article/view/56798/34173
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
publisher.none.fl_str_mv Boletim de Ciências Geodésicas
Bulletin of Geodetic Sciences
dc.source.none.fl_str_mv Boletim de Ciências Geodésicas; Vol 23, No 4 (2017)
Bulletin of Geodetic Sciences; Vol 23, No 4 (2017)
1982-2170
1413-4853
reponame:Boletim de Ciências Geodésicas
instname:Universidade Federal do Paraná (UFPR)
instacron:UFPR
instname_str Universidade Federal do Paraná (UFPR)
instacron_str UFPR
institution UFPR
reponame_str Boletim de Ciências Geodésicas
collection Boletim de Ciências Geodésicas
repository.name.fl_str_mv Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)
repository.mail.fl_str_mv qdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br
_version_ 1799771719448133632

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