Side-scan sonar imaging data of underwater vehicles for mine detection

Detalhes bibliográficos
Autor(a) principal: Santos, Nuno Pessanha
Data de Publicação: 2024
Outros Autores: Moura, Ricardo, Torgal, Gonçalo Sampaio, Lobo, Victor, Neto, Miguel de Castro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/163804
Resumo: Santos, N. P., Moura, R., Torgal, G. S., Lobo, V., & Neto, M. D. C. (2024). Side-scan sonar imaging data of underwater vehicles for mine detection. Data in brief, 53, 1-8. Article 110132. Advance online publication. https://doi.org/10.1016/j.dib.2024.110132, https://doi.org/10.6084/m9.figshare.24574879 --- This work was supported by the national project MArIA - Plataforma Integrada de desenvolvimento de modelos de Inteligência artificial para o mar, with grant number POCI-05-5762-FSE-000400. The research conducted by Ricardo Moura was funded by the Fundação para a Ciência e a Tecnologia (FCT) - Center for Mathematics and Applications (NOVA Math) under the projects UIDB/00297/2020 (https://doi.org/10.54499/UIDB/00297/2020) and UIDP/00297/2020 (https://doi.org/10.54499/UIDP/00297/2020). The research carried out by Victor Lobo and Miguel de Castro Neto was supported by national funds through FCT under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
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spelling Side-scan sonar imaging data of underwater vehicles for mine detectionAutonomous underwater vehiclesUnmanned underwater vehiclesSonar measurementsSonar detectionSide-scan sonarSDG 14 - Life Below WaterSDG 17 - Partnerships for the GoalsSantos, N. P., Moura, R., Torgal, G. S., Lobo, V., & Neto, M. D. C. (2024). Side-scan sonar imaging data of underwater vehicles for mine detection. Data in brief, 53, 1-8. Article 110132. Advance online publication. https://doi.org/10.1016/j.dib.2024.110132, https://doi.org/10.6084/m9.figshare.24574879 --- This work was supported by the national project MArIA - Plataforma Integrada de desenvolvimento de modelos de Inteligência artificial para o mar, with grant number POCI-05-5762-FSE-000400. The research conducted by Ricardo Moura was funded by the Fundação para a Ciência e a Tecnologia (FCT) - Center for Mathematics and Applications (NOVA Math) under the projects UIDB/00297/2020 (https://doi.org/10.54499/UIDB/00297/2020) and UIDP/00297/2020 (https://doi.org/10.54499/UIDP/00297/2020). The research carried out by Victor Lobo and Miguel de Castro Neto was supported by national funds through FCT under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.Unmanned vehicles have become increasingly popular in the underwater domain in the last decade, as they provide better operation reliability by minimizing human involvement in most tasks. Perception of the environment is crucial for safety and other tasks, such as guidance and trajectory control, mainly when operating underwater. Mine detection is one of the riskiest operations since it involves systems that can easily damage vehicles and endanger human lives if manned. Automating mine detection from side-scan sonar images enhances safety while reducing false negatives. The collected dataset contains 1170 real sonar images taken between 2010 and 2021 using a Teledyne Marine Gavia Autonomous Underwater Vehicle (AUV), which includes enough information to classify its content objects as NOn-Mine-like BOttom Objects (NOMBO) and MIne-Like COntacts (MILCO). The dataset is annotated and can be quickly deployed for object detection, classification, or image segmentation tasks. Collecting a dataset of this type requires a significant amount of time and cost, which increases its rarity and relevance to research and industrial development.CMA - Centro de Matemática e AplicaçõesInformation Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNSantos, Nuno PessanhaMoura, RicardoTorgal, Gonçalo SampaioLobo, VictorNeto, Miguel de Castro2024-02-19T23:51:59Z2024-042024-04-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article8application/pdfhttp://hdl.handle.net/10362/163804eng2352-3409PURE: 83088233https://doi.org/10.1016/j.dib.2024.110132info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:48:56Zoai:run.unl.pt:10362/163804Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:59:52.140Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Side-scan sonar imaging data of underwater vehicles for mine detection
title Side-scan sonar imaging data of underwater vehicles for mine detection
spellingShingle Side-scan sonar imaging data of underwater vehicles for mine detection
Santos, Nuno Pessanha
Autonomous underwater vehicles
Unmanned underwater vehicles
Sonar measurements
Sonar detection
Side-scan sonar
SDG 14 - Life Below Water
SDG 17 - Partnerships for the Goals
title_short Side-scan sonar imaging data of underwater vehicles for mine detection
title_full Side-scan sonar imaging data of underwater vehicles for mine detection
title_fullStr Side-scan sonar imaging data of underwater vehicles for mine detection
title_full_unstemmed Side-scan sonar imaging data of underwater vehicles for mine detection
title_sort Side-scan sonar imaging data of underwater vehicles for mine detection
author Santos, Nuno Pessanha
author_facet Santos, Nuno Pessanha
Moura, Ricardo
Torgal, Gonçalo Sampaio
Lobo, Victor
Neto, Miguel de Castro
author_role author
author2 Moura, Ricardo
Torgal, Gonçalo Sampaio
Lobo, Victor
Neto, Miguel de Castro
author2_role author
author
author
author
dc.contributor.none.fl_str_mv CMA - Centro de Matemática e Aplicações
Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Santos, Nuno Pessanha
Moura, Ricardo
Torgal, Gonçalo Sampaio
Lobo, Victor
Neto, Miguel de Castro
dc.subject.por.fl_str_mv Autonomous underwater vehicles
Unmanned underwater vehicles
Sonar measurements
Sonar detection
Side-scan sonar
SDG 14 - Life Below Water
SDG 17 - Partnerships for the Goals
topic Autonomous underwater vehicles
Unmanned underwater vehicles
Sonar measurements
Sonar detection
Side-scan sonar
SDG 14 - Life Below Water
SDG 17 - Partnerships for the Goals
description Santos, N. P., Moura, R., Torgal, G. S., Lobo, V., & Neto, M. D. C. (2024). Side-scan sonar imaging data of underwater vehicles for mine detection. Data in brief, 53, 1-8. Article 110132. Advance online publication. https://doi.org/10.1016/j.dib.2024.110132, https://doi.org/10.6084/m9.figshare.24574879 --- This work was supported by the national project MArIA - Plataforma Integrada de desenvolvimento de modelos de Inteligência artificial para o mar, with grant number POCI-05-5762-FSE-000400. The research conducted by Ricardo Moura was funded by the Fundação para a Ciência e a Tecnologia (FCT) - Center for Mathematics and Applications (NOVA Math) under the projects UIDB/00297/2020 (https://doi.org/10.54499/UIDB/00297/2020) and UIDP/00297/2020 (https://doi.org/10.54499/UIDP/00297/2020). The research carried out by Victor Lobo and Miguel de Castro Neto was supported by national funds through FCT under the project - UIDB/04152/2020 - Centro de Investigação em Gestão de Informação (MagIC)/NOVA IMS.
publishDate 2024
dc.date.none.fl_str_mv 2024-02-19T23:51:59Z
2024-04
2024-04-01T00:00:00Z
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.uri.fl_str_mv http://hdl.handle.net/10362/163804
url http://hdl.handle.net/10362/163804
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2352-3409
PURE: 83088233
https://doi.org/10.1016/j.dib.2024.110132
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 8
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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