ICTM: an interval tessellation-based model for reliable topographic segmentation
Autor(a) principal: | |
---|---|
Data de Publicação: | 2004 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FURG (RI FURG) |
Texto Completo: | http://repositorio.furg.br/handle/1/6431 |
Resumo: | This work introduces a tessellation-based model for the declivity analysis of geographic regions. The analysis of the relief declivity, which is embedded in the rules of the model, categorizes each tessellation cell, with respect to the whole considered region, according to the (positive, negative, null) sign of the declivity of the cell. Such information is represented in the states assumed by the cells of the model. The overall configuration of such cells allows the division of the region into subregions of cells belonging to a same category, that is, presenting the same declivity sign. In order to control the errors coming from the discretization of the region into tessellation cells, or resulting from numerical computations, interval techniques are used. The implementation of the model is naturally parallel since the analysis is performed on the basis of local rules. An immediate application is in geophysics, where an adequate subdivision of geographic areas into segments presenting similar topographic characteristics is often convenient. |
id |
FURG_0a9ff33f97a3d2f0e521f33c4ca2014f |
---|---|
oai_identifier_str |
oai:repositorio.furg.br:1/6431 |
network_acronym_str |
FURG |
network_name_str |
Repositório Institucional da FURG (RI FURG) |
repository_id_str |
|
spelling |
Aguiar, Marilton Sanchotene deDimuro, Graçaliz PereiraCosta, Antonio Carlos da Rocha2016-08-30T19:45:45Z2016-08-30T19:45:45Z2004AGUIAR, Marilton Sanchonete de; DIMURO, Graçaliz Pereira; COSTA, Antonio Carlos da Rocha. ICTM: an interval tessellation-based model for reliable topographic segmentation. Numerical Algorithms, v. 37, n. 1, p. 3–11, 2004. Disponível em: <http://link.springer.com/article/10.1023/B%3ANUMA.0000049453.95969.41>. Acesso em: 12 jan. 2015.1572-9265http://repositorio.furg.br/handle/1/6431This work introduces a tessellation-based model for the declivity analysis of geographic regions. The analysis of the relief declivity, which is embedded in the rules of the model, categorizes each tessellation cell, with respect to the whole considered region, according to the (positive, negative, null) sign of the declivity of the cell. Such information is represented in the states assumed by the cells of the model. The overall configuration of such cells allows the division of the region into subregions of cells belonging to a same category, that is, presenting the same declivity sign. In order to control the errors coming from the discretization of the region into tessellation cells, or resulting from numerical computations, interval techniques are used. The implementation of the model is naturally parallel since the analysis is performed on the basis of local rules. An immediate application is in geophysics, where an adequate subdivision of geographic areas into segments presenting similar topographic characteristics is often convenient.engTessellation-based modelTopographic categorizationInterval mathematicsGeophysicsICTM: an interval tessellation-based model for reliable topographic segmentationinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FURG (RI FURG)instname:Universidade Federal do Rio Grande (FURG)instacron:FURGORIGINALTopographSegment.pdfTopographSegment.pdfapplication/pdf167693https://repositorio.furg.br/bitstream/1/6431/1/TopographSegment.pdfba740d0056ee65c9a6fdc57c376392a3MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.furg.br/bitstream/1/6431/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52open access1/64312016-08-30 16:45:45.975open accessoai:repositorio.furg.br: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Repositório InstitucionalPUBhttps://repositorio.furg.br/oai/request || http://200.19.254.174/oai/requestopendoar:2016-08-30T19:45:45Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG)false |
dc.title.pt_BR.fl_str_mv |
ICTM: an interval tessellation-based model for reliable topographic segmentation |
title |
ICTM: an interval tessellation-based model for reliable topographic segmentation |
spellingShingle |
ICTM: an interval tessellation-based model for reliable topographic segmentation Aguiar, Marilton Sanchotene de Tessellation-based model Topographic categorization Interval mathematics Geophysics |
title_short |
ICTM: an interval tessellation-based model for reliable topographic segmentation |
title_full |
ICTM: an interval tessellation-based model for reliable topographic segmentation |
title_fullStr |
ICTM: an interval tessellation-based model for reliable topographic segmentation |
title_full_unstemmed |
ICTM: an interval tessellation-based model for reliable topographic segmentation |
title_sort |
ICTM: an interval tessellation-based model for reliable topographic segmentation |
author |
Aguiar, Marilton Sanchotene de |
author_facet |
Aguiar, Marilton Sanchotene de Dimuro, Graçaliz Pereira Costa, Antonio Carlos da Rocha |
author_role |
author |
author2 |
Dimuro, Graçaliz Pereira Costa, Antonio Carlos da Rocha |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Aguiar, Marilton Sanchotene de Dimuro, Graçaliz Pereira Costa, Antonio Carlos da Rocha |
dc.subject.por.fl_str_mv |
Tessellation-based model Topographic categorization Interval mathematics Geophysics |
topic |
Tessellation-based model Topographic categorization Interval mathematics Geophysics |
description |
This work introduces a tessellation-based model for the declivity analysis of geographic regions. The analysis of the relief declivity, which is embedded in the rules of the model, categorizes each tessellation cell, with respect to the whole considered region, according to the (positive, negative, null) sign of the declivity of the cell. Such information is represented in the states assumed by the cells of the model. The overall configuration of such cells allows the division of the region into subregions of cells belonging to a same category, that is, presenting the same declivity sign. In order to control the errors coming from the discretization of the region into tessellation cells, or resulting from numerical computations, interval techniques are used. The implementation of the model is naturally parallel since the analysis is performed on the basis of local rules. An immediate application is in geophysics, where an adequate subdivision of geographic areas into segments presenting similar topographic characteristics is often convenient. |
publishDate |
2004 |
dc.date.issued.fl_str_mv |
2004 |
dc.date.accessioned.fl_str_mv |
2016-08-30T19:45:45Z |
dc.date.available.fl_str_mv |
2016-08-30T19:45:45Z |
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.citation.fl_str_mv |
AGUIAR, Marilton Sanchonete de; DIMURO, Graçaliz Pereira; COSTA, Antonio Carlos da Rocha. ICTM: an interval tessellation-based model for reliable topographic segmentation. Numerical Algorithms, v. 37, n. 1, p. 3–11, 2004. Disponível em: <http://link.springer.com/article/10.1023/B%3ANUMA.0000049453.95969.41>. Acesso em: 12 jan. 2015. |
dc.identifier.uri.fl_str_mv |
http://repositorio.furg.br/handle/1/6431 |
dc.identifier.issn.none.fl_str_mv |
1572-9265 |
identifier_str_mv |
AGUIAR, Marilton Sanchonete de; DIMURO, Graçaliz Pereira; COSTA, Antonio Carlos da Rocha. ICTM: an interval tessellation-based model for reliable topographic segmentation. Numerical Algorithms, v. 37, n. 1, p. 3–11, 2004. Disponível em: <http://link.springer.com/article/10.1023/B%3ANUMA.0000049453.95969.41>. Acesso em: 12 jan. 2015. 1572-9265 |
url |
http://repositorio.furg.br/handle/1/6431 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da FURG (RI FURG) instname:Universidade Federal do Rio Grande (FURG) instacron:FURG |
instname_str |
Universidade Federal do Rio Grande (FURG) |
instacron_str |
FURG |
institution |
FURG |
reponame_str |
Repositório Institucional da FURG (RI FURG) |
collection |
Repositório Institucional da FURG (RI FURG) |
bitstream.url.fl_str_mv |
https://repositorio.furg.br/bitstream/1/6431/1/TopographSegment.pdf https://repositorio.furg.br/bitstream/1/6431/2/license.txt |
bitstream.checksum.fl_str_mv |
ba740d0056ee65c9a6fdc57c376392a3 8a4605be74aa9ea9d79846c1fba20a33 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da FURG (RI FURG) - Universidade Federal do Rio Grande (FURG) |
repository.mail.fl_str_mv |
|
_version_ |
1798313579123834880 |