Terrain classification using static and dynamic texture features by UAV downwash effect

Detalhes bibliográficos
Autor(a) principal: Carvalho, João Pedro
Data de Publicação: 2019
Outros Autores: Fonseca, José Manuel, Mora, André Damas
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/114759
Resumo: UID/EEA/00066/203
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spelling Terrain classification using static and dynamic texture features by UAV downwash effectImage processingMachine LearningNeural networksTerrain classificationTextureUAVControl and Systems EngineeringSignal ProcessingArtificial IntelligenceUID/EEA/00066/203knowing how to identify terrain types is especially important in the autonomous navigation, mapping, decision making and emergency landings areas. For example, an unmanned aerial vehicle (UAV) can use it to find a suitable landing position or to cooperate with other robots to navigate across an unknown region. Previous works on terrain classification from RGB images taken onboard of UAVs shown that only static pixel-based features were tested with a considerable classification error. This paper presents a computer vision algorithm capable of identifying the terrain from RGB images with improved accuracy. The algorithm complement the static image features and dynamic texture patterns produced by UAVs rotors downwash effect (visible at lower altitudes) and machine learning methods to classify the underlying terrain. The system is validated using videos acquired onboard of a UAV with a RGB camera.CTS - Centro de Tecnologia e SistemasUNINOVA-Instituto de Desenvolvimento de Novas TecnologiasRUNCarvalho, João PedroFonseca, José ManuelMora, André Damas2021-03-30T22:19:29Z2019-02-072019-02-07T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10application/pdfhttp://hdl.handle.net/10362/114759eng1897-8649PURE: 16972230https://doi.org/10.14313/JAMRIS_1-2019/11info: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:RCAAP2024-03-11T04:57:31Zoai:run.unl.pt:10362/114759Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:42:37.868201Repositório 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 Terrain classification using static and dynamic texture features by UAV downwash effect
title Terrain classification using static and dynamic texture features by UAV downwash effect
spellingShingle Terrain classification using static and dynamic texture features by UAV downwash effect
Carvalho, João Pedro
Image processing
Machine Learning
Neural networks
Terrain classification
Texture
UAV
Control and Systems Engineering
Signal Processing
Artificial Intelligence
title_short Terrain classification using static and dynamic texture features by UAV downwash effect
title_full Terrain classification using static and dynamic texture features by UAV downwash effect
title_fullStr Terrain classification using static and dynamic texture features by UAV downwash effect
title_full_unstemmed Terrain classification using static and dynamic texture features by UAV downwash effect
title_sort Terrain classification using static and dynamic texture features by UAV downwash effect
author Carvalho, João Pedro
author_facet Carvalho, João Pedro
Fonseca, José Manuel
Mora, André Damas
author_role author
author2 Fonseca, José Manuel
Mora, André Damas
author2_role author
author
dc.contributor.none.fl_str_mv CTS - Centro de Tecnologia e Sistemas
UNINOVA-Instituto de Desenvolvimento de Novas Tecnologias
RUN
dc.contributor.author.fl_str_mv Carvalho, João Pedro
Fonseca, José Manuel
Mora, André Damas
dc.subject.por.fl_str_mv Image processing
Machine Learning
Neural networks
Terrain classification
Texture
UAV
Control and Systems Engineering
Signal Processing
Artificial Intelligence
topic Image processing
Machine Learning
Neural networks
Terrain classification
Texture
UAV
Control and Systems Engineering
Signal Processing
Artificial Intelligence
description UID/EEA/00066/203
publishDate 2019
dc.date.none.fl_str_mv 2019-02-07
2019-02-07T00:00:00Z
2021-03-30T22:19:29Z
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/10362/114759
url http://hdl.handle.net/10362/114759
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1897-8649
PURE: 16972230
https://doi.org/10.14313/JAMRIS_1-2019/11
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 10
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
institution RCAAP
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
repository.mail.fl_str_mv
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