State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning

Detalles Bibliográficos
Autores: Cira, Calimanut-Ionut|||0000-0002-7713-7238, Manso Callejo, Miguel Ángel|||0000-0003-2307-8639, Alcarria Garrido, Ramón Pablo|||0000-0002-1183-9579, Bordel Sánchez, Borja|||0000-0001-7815-5924, González Matesanz, Francisco Javier|||0000-0003-1663-4713
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad Politécnica de Madrid
Repositorio:Archivo Digital UPM
OAI Identifier:oai:oa.upm.es:84998
Acceso en línea:https://oa.upm.es/84998/
Access Level:acceso abierto
Palabra clave:road mapping solution
road recognition
road surface area extraction
road predictions post-processing
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oai_identifier_str oai:oa.upm.es:84998
network_acronym_str ES
network_name_str España
repository_id_str
spelling State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative LearningCira, Calimanut-Ionut|||0000-0002-7713-7238Manso Callejo, Miguel Ángel|||0000-0003-2307-8639Alcarria Garrido, Ramón Pablo|||0000-0002-1183-9579Bordel Sánchez, Borja|||0000-0001-7815-5924González Matesanz, Francisco Javier|||0000-0003-1663-4713road mapping solutionroad recognitionroad surface area extractionroad predictions post-processing20232023-04-16journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articlehttps://oa.upm.es/84998/reponame:Archivo Digital UPMinstname:Universidad Politécnica de MadridInglésenopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:oa.upm.es:849982026-06-21T12:45:07Z
dc.title.none.fl_str_mv State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning
title State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning
spellingShingle State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning
Cira, Calimanut-Ionut|||0000-0002-7713-7238
road mapping solution
road recognition
road surface area extraction
road predictions post-processing
title_short State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning
title_full State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning
title_fullStr State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning
title_full_unstemmed State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning
title_sort State-Level Mapping of the Road Transport Network from Aerial Orthophotography: An End-to-End Road Extraction Solution Based on Deep Learning Models Trained for Recognition, Semantic Segmentation and Post-Processing with Conditional Generative Learning
dc.creator.none.fl_str_mv Cira, Calimanut-Ionut|||0000-0002-7713-7238
Manso Callejo, Miguel Ángel|||0000-0003-2307-8639
Alcarria Garrido, Ramón Pablo|||0000-0002-1183-9579
Bordel Sánchez, Borja|||0000-0001-7815-5924
González Matesanz, Francisco Javier|||0000-0003-1663-4713
author Cira, Calimanut-Ionut|||0000-0002-7713-7238
author_facet Cira, Calimanut-Ionut|||0000-0002-7713-7238
Manso Callejo, Miguel Ángel|||0000-0003-2307-8639
Alcarria Garrido, Ramón Pablo|||0000-0002-1183-9579
Bordel Sánchez, Borja|||0000-0001-7815-5924
González Matesanz, Francisco Javier|||0000-0003-1663-4713
author_role author
author2 Manso Callejo, Miguel Ángel|||0000-0003-2307-8639
Alcarria Garrido, Ramón Pablo|||0000-0002-1183-9579
Bordel Sánchez, Borja|||0000-0001-7815-5924
González Matesanz, Francisco Javier|||0000-0003-1663-4713
author2_role author
author
author
author
dc.subject.none.fl_str_mv road mapping solution
road recognition
road surface area extraction
road predictions post-processing
topic road mapping solution
road recognition
road surface area extraction
road predictions post-processing
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-04-16
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://oa.upm.es/84998/
url https://oa.upm.es/84998/
dc.language.none.fl_str_mv Inglés
en
language_invalid_str_mv Inglés
en
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv reponame:Archivo Digital UPM
instname:Universidad Politécnica de Madrid
instname_str Universidad Politécnica de Madrid
reponame_str Archivo Digital UPM
collection Archivo Digital UPM
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812429

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