SPATIAL OUTLIERS DETECTION ALGORITHM (SODA) APPLIED TO MULTIBEAM BATHYMETRIC DATA PROCESSING
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Boletim de Ciências Geodésicas |
Texto Completo: | https://revistas.ufpr.br/bcg/article/view/72042 |
Resumo: | The amount of data produced in an echo sounder has grown exponentially with scanning systems such as multibeam echo sounders and interferometric sonars, providing a considerable improvement in the submerged relief representation, especially to detect hazard objects to the navigator. However, the available processing algorithms did not follow this evolution; manual processing is usually necessary or at least constant intervention by an analyst, making this task arduous with a high subjectivity degree. In addition, statistical inconsistencies are common in most of the algorithms and filters available. Thus, SODA (Spatial Outliers Detection Algorithm) was recently presented, which is a methodology directed at first for echo sounder data treatment. The authors evaluated the algorithm efficiency using simulated data. Therefore, this article aimed to evaluate the SODA efficiency for real data treatment, with a multibeam echo sounder. A number of interesting results was obtained, reaffirming the methodology strength, regarding the search for spikes in echo sounder data. |
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SPATIAL OUTLIERS DETECTION ALGORITHM (SODA) APPLIED TO MULTIBEAM BATHYMETRIC DATA PROCESSINGGeociências, Ciências da TerraSpikes, Outliers, Multibeam Sonar, Multibeam Data Processing.The amount of data produced in an echo sounder has grown exponentially with scanning systems such as multibeam echo sounders and interferometric sonars, providing a considerable improvement in the submerged relief representation, especially to detect hazard objects to the navigator. However, the available processing algorithms did not follow this evolution; manual processing is usually necessary or at least constant intervention by an analyst, making this task arduous with a high subjectivity degree. In addition, statistical inconsistencies are common in most of the algorithms and filters available. Thus, SODA (Spatial Outliers Detection Algorithm) was recently presented, which is a methodology directed at first for echo sounder data treatment. The authors evaluated the algorithm efficiency using simulated data. Therefore, this article aimed to evaluate the SODA efficiency for real data treatment, with a multibeam echo sounder. A number of interesting results was obtained, reaffirming the methodology strength, regarding the search for spikes in echo sounder data.Boletim de Ciências GeodésicasBulletin of Geodetic SciencesFerreira, Italo OliveiraSantos, Afonso de Paula dosOliveira, Júlio César deMedeiros, Nilcilene das GraçasEmiliano, Paulo César2018-12-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.ufpr.br/bcg/article/view/72042Boletim de Ciências Geodésicas; Vol 25, No 4 (2019)Bulletin of Geodetic Sciences; Vol 25, No 4 (2019)1982-21701413-4853reponame:Boletim de Ciências Geodésicasinstname:Universidade Federal do Paraná (UFPR)instacron:UFPRenghttps://revistas.ufpr.br/bcg/article/view/72042/40399Copyright (c) 2020 Italo Oliveira Ferreira, Afonso de Paula dos Santos, Júlio César de Oliveira, Nilcilene das Graças Medeiros, Paulo César Emilianohttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccess2020-03-03T12:17:02Zoai:revistas.ufpr.br:article/72042Revistahttps://revistas.ufpr.br/bcgPUBhttps://revistas.ufpr.br/bcg/oaiqdalmolin@ufpr.br|| danielsantos@ufpr.br||qdalmolin@ufpr.br|| danielsantos@ufpr.br1982-21701413-4853opendoar:2020-03-03T12:17:02Boletim de Ciências Geodésicas - Universidade Federal do Paraná (UFPR)false |
dc.title.none.fl_str_mv |
SPATIAL OUTLIERS DETECTION ALGORITHM (SODA) APPLIED TO MULTIBEAM BATHYMETRIC DATA PROCESSING |
title |
SPATIAL OUTLIERS DETECTION ALGORITHM (SODA) APPLIED TO MULTIBEAM BATHYMETRIC DATA PROCESSING |
spellingShingle |
SPATIAL OUTLIERS DETECTION ALGORITHM (SODA) APPLIED TO MULTIBEAM BATHYMETRIC DATA PROCESSING Ferreira, Italo Oliveira Geociências, Ciências da Terra Spikes, Outliers, Multibeam Sonar, Multibeam Data Processing. |
title_short |
SPATIAL OUTLIERS DETECTION ALGORITHM (SODA) APPLIED TO MULTIBEAM BATHYMETRIC DATA PROCESSING |
title_full |
SPATIAL OUTLIERS DETECTION ALGORITHM (SODA) APPLIED TO MULTIBEAM BATHYMETRIC DATA PROCESSING |
title_fullStr |
SPATIAL OUTLIERS DETECTION ALGORITHM (SODA) APPLIED TO MULTIBEAM BATHYMETRIC DATA PROCESSING |
title_full_unstemmed |
SPATIAL OUTLIERS DETECTION ALGORITHM (SODA) APPLIED TO MULTIBEAM BATHYMETRIC DATA PROCESSING |
title_sort |
SPATIAL OUTLIERS DETECTION ALGORITHM (SODA) APPLIED TO MULTIBEAM BATHYMETRIC DATA PROCESSING |
author |
Ferreira, Italo Oliveira |
author_facet |
Ferreira, Italo Oliveira Santos, Afonso de Paula dos Oliveira, Júlio César de Medeiros, Nilcilene das Graças Emiliano, Paulo César |
author_role |
author |
author2 |
Santos, Afonso de Paula dos Oliveira, Júlio César de Medeiros, Nilcilene das Graças Emiliano, Paulo César |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Ferreira, Italo Oliveira Santos, Afonso de Paula dos Oliveira, Júlio César de Medeiros, Nilcilene das Graças Emiliano, Paulo César |
dc.subject.none.fl_str_mv |
|
dc.subject.por.fl_str_mv |
Geociências, Ciências da Terra Spikes, Outliers, Multibeam Sonar, Multibeam Data Processing. |
topic |
Geociências, Ciências da Terra Spikes, Outliers, Multibeam Sonar, Multibeam Data Processing. |
description |
The amount of data produced in an echo sounder has grown exponentially with scanning systems such as multibeam echo sounders and interferometric sonars, providing a considerable improvement in the submerged relief representation, especially to detect hazard objects to the navigator. However, the available processing algorithms did not follow this evolution; manual processing is usually necessary or at least constant intervention by an analyst, making this task arduous with a high subjectivity degree. In addition, statistical inconsistencies are common in most of the algorithms and filters available. Thus, SODA (Spatial Outliers Detection Algorithm) was recently presented, which is a methodology directed at first for echo sounder data treatment. The authors evaluated the algorithm efficiency using simulated data. Therefore, this article aimed to evaluate the SODA efficiency for real data treatment, with a multibeam echo sounder. A number of interesting results was obtained, reaffirming the methodology strength, regarding the search for spikes in echo sounder data. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-17 |
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/72042 |
url |
https://revistas.ufpr.br/bcg/article/view/72042 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.ufpr.br/bcg/article/view/72042/40399 |
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 25, No 4 (2019) Bulletin of Geodetic Sciences; Vol 25, No 4 (2019) 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_ |
1799771719925235712 |