Automatic shadow segmentation in aerial color images
Autor(a) principal: | |
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Data de Publicação: | 2003 |
Outros Autores: | , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/SIBGRA.2003.1241019 http://hdl.handle.net/11449/220473 |
Resumo: | A robust and efficient technique to segment shaded areas in aerial color images is presented here. This technique is based on the physical phenomenon of atmospheric dispersion of the sunlight most well known as the Rayleigh scattering effect. This technique does not depend on special algorithms to classify or to form clusters of objects appearing in complex aerial images. In fact, the mathematical model, derived from the physical model is very simple but it produces consistent results and can be applied to color images obtained by airborne and orbital sensors (e.g., Landsat TM and IKONOS). |
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Repositório Institucional da UNESP |
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2946 |
spelling |
Automatic shadow segmentation in aerial color imagesAtmospheric modelingClustering algorithmsColorDispersionImage segmentationImage sensorsMathematical modelRayleigh scatteringRobustnessSatellitesA robust and efficient technique to segment shaded areas in aerial color images is presented here. This technique is based on the physical phenomenon of atmospheric dispersion of the sunlight most well known as the Rayleigh scattering effect. This technique does not depend on special algorithms to classify or to form clusters of objects appearing in complex aerial images. In fact, the mathematical model, derived from the physical model is very simple but it produces consistent results and can be applied to color images obtained by airborne and orbital sensors (e.g., Landsat TM and IKONOS).UEM - Universidade Estadual de Maringá, Av. Colombo, 5790FCT/UNESP, R. Roberto Simonsen, 305UEM, UNESPFCT/UNESP, R. Roberto Simonsen, 305UEM, UNESPUniversidade Estadual de Maringá (UEM)Universidade Estadual Paulista (UNESP)Polidorio, A. M. [UNESP]Flores, F. C.Imai, N. N. [UNESP]Tommaselli, A. M.G. [UNESP]Franco, C. [UNESP]2022-04-28T19:01:39Z2022-04-28T19:01:39Z2003-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject270-277http://dx.doi.org/10.1109/SIBGRA.2003.1241019Brazilian Symposium of Computer Graphic and Image Processing, v. 2003-January, p. 270-277.1530-1834http://hdl.handle.net/11449/22047310.1109/SIBGRA.2003.12410192-s2.0-84944452329Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBrazilian Symposium of Computer Graphic and Image Processinginfo:eu-repo/semantics/openAccess2022-04-28T19:01:40Zoai:repositorio.unesp.br:11449/220473Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T15:14:14.513986Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Automatic shadow segmentation in aerial color images |
title |
Automatic shadow segmentation in aerial color images |
spellingShingle |
Automatic shadow segmentation in aerial color images Polidorio, A. M. [UNESP] Atmospheric modeling Clustering algorithms Color Dispersion Image segmentation Image sensors Mathematical model Rayleigh scattering Robustness Satellites |
title_short |
Automatic shadow segmentation in aerial color images |
title_full |
Automatic shadow segmentation in aerial color images |
title_fullStr |
Automatic shadow segmentation in aerial color images |
title_full_unstemmed |
Automatic shadow segmentation in aerial color images |
title_sort |
Automatic shadow segmentation in aerial color images |
author |
Polidorio, A. M. [UNESP] |
author_facet |
Polidorio, A. M. [UNESP] Flores, F. C. Imai, N. N. [UNESP] Tommaselli, A. M.G. [UNESP] Franco, C. [UNESP] |
author_role |
author |
author2 |
Flores, F. C. Imai, N. N. [UNESP] Tommaselli, A. M.G. [UNESP] Franco, C. [UNESP] |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual de Maringá (UEM) Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Polidorio, A. M. [UNESP] Flores, F. C. Imai, N. N. [UNESP] Tommaselli, A. M.G. [UNESP] Franco, C. [UNESP] |
dc.subject.por.fl_str_mv |
Atmospheric modeling Clustering algorithms Color Dispersion Image segmentation Image sensors Mathematical model Rayleigh scattering Robustness Satellites |
topic |
Atmospheric modeling Clustering algorithms Color Dispersion Image segmentation Image sensors Mathematical model Rayleigh scattering Robustness Satellites |
description |
A robust and efficient technique to segment shaded areas in aerial color images is presented here. This technique is based on the physical phenomenon of atmospheric dispersion of the sunlight most well known as the Rayleigh scattering effect. This technique does not depend on special algorithms to classify or to form clusters of objects appearing in complex aerial images. In fact, the mathematical model, derived from the physical model is very simple but it produces consistent results and can be applied to color images obtained by airborne and orbital sensors (e.g., Landsat TM and IKONOS). |
publishDate |
2003 |
dc.date.none.fl_str_mv |
2003-01-01 2022-04-28T19:01:39Z 2022-04-28T19:01:39Z |
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/10.1109/SIBGRA.2003.1241019 Brazilian Symposium of Computer Graphic and Image Processing, v. 2003-January, p. 270-277. 1530-1834 http://hdl.handle.net/11449/220473 10.1109/SIBGRA.2003.1241019 2-s2.0-84944452329 |
url |
http://dx.doi.org/10.1109/SIBGRA.2003.1241019 http://hdl.handle.net/11449/220473 |
identifier_str_mv |
Brazilian Symposium of Computer Graphic and Image Processing, v. 2003-January, p. 270-277. 1530-1834 10.1109/SIBGRA.2003.1241019 2-s2.0-84944452329 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Brazilian Symposium of Computer Graphic and Image Processing |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
270-277 |
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_ |
1808128485510610944 |