Remote estimation of target height from unmanned aerial vehicle (Uav) images

Detalhes bibliográficos
Autor(a) principal: Tonini, Andrea
Data de Publicação: 2020
Outros Autores: Redweik, Paula, Painho, Marco, Castelli, Mauro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/107260
Resumo: Tonini, A., Redweik, P., Painho, M., & Castelli, M. (2020). Remote estimation of target height from unmanned aerial vehicle (Uav) images. Remote Sensing, 12(21), 1-24. [3602]. https://doi.org/10.3390/rs12213602
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spelling Remote estimation of target height from unmanned aerial vehicle (Uav) imagesImage distortion compensationPinhole modelRemote surveillanceTarget heightUAVUncertainty analysisEarth and Planetary Sciences(all)SDG 9 - Industry, Innovation, and InfrastructureTonini, A., Redweik, P., Painho, M., & Castelli, M. (2020). Remote estimation of target height from unmanned aerial vehicle (Uav) images. Remote Sensing, 12(21), 1-24. [3602]. https://doi.org/10.3390/rs12213602This paper focuses on how the height of a target can be swiftly estimated using images acquired by a digital camera installed into moving platforms, such as unmanned aerial vehicles (UAVs). A pinhole camera model after distortion compensation was considered for this purpose since it does not need extensive processing nor vanishing lines. The pinhole model has been extensively employed for similar purposes in past studies but mainly focusing on fixed camera installations. This study analyzes how to tailor the pinhole model for gimballed cameras mounted into UAVs, considering camera parameters and flight parameters. Moreover, it indicates a solution that foresees correcting only a few needed pixels to limit the processing overload. Finally, an extensive analysis was conducted to define the uncertainty associated with the height estimation. The results of this analysis highlighted interesting relationships between UAV‐to‐target relative distance, camera pose, and height uncertainty that allow practical exploitations of the proposed approach. The model was tested with real data in both controlled and uncontrolled environments, the results confirmed the suitability of the proposed method and outcomes of the uncertainty analysis. Finally, this research can open consumer UAVs to innovative applications for urban surveillance.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNTonini, AndreaRedweik, PaulaPainho, MarcoCastelli, Mauro2020-11-16T23:59:19Z2020-11-022020-11-02T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article24application/pdfhttp://hdl.handle.net/10362/107260eng2072-4292PURE: 26406538https://doi.org/10.3390/rs12213602info: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:RCAAP2024-03-11T04:51:57Zoai:run.unl.pt:10362/107260Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:40:54.301710Repositório 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 Remote estimation of target height from unmanned aerial vehicle (Uav) images
title Remote estimation of target height from unmanned aerial vehicle (Uav) images
spellingShingle Remote estimation of target height from unmanned aerial vehicle (Uav) images
Tonini, Andrea
Image distortion compensation
Pinhole model
Remote surveillance
Target height
UAV
Uncertainty analysis
Earth and Planetary Sciences(all)
SDG 9 - Industry, Innovation, and Infrastructure
title_short Remote estimation of target height from unmanned aerial vehicle (Uav) images
title_full Remote estimation of target height from unmanned aerial vehicle (Uav) images
title_fullStr Remote estimation of target height from unmanned aerial vehicle (Uav) images
title_full_unstemmed Remote estimation of target height from unmanned aerial vehicle (Uav) images
title_sort Remote estimation of target height from unmanned aerial vehicle (Uav) images
author Tonini, Andrea
author_facet Tonini, Andrea
Redweik, Paula
Painho, Marco
Castelli, Mauro
author_role author
author2 Redweik, Paula
Painho, Marco
Castelli, Mauro
author2_role author
author
author
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Tonini, Andrea
Redweik, Paula
Painho, Marco
Castelli, Mauro
dc.subject.por.fl_str_mv Image distortion compensation
Pinhole model
Remote surveillance
Target height
UAV
Uncertainty analysis
Earth and Planetary Sciences(all)
SDG 9 - Industry, Innovation, and Infrastructure
topic Image distortion compensation
Pinhole model
Remote surveillance
Target height
UAV
Uncertainty analysis
Earth and Planetary Sciences(all)
SDG 9 - Industry, Innovation, and Infrastructure
description Tonini, A., Redweik, P., Painho, M., & Castelli, M. (2020). Remote estimation of target height from unmanned aerial vehicle (Uav) images. Remote Sensing, 12(21), 1-24. [3602]. https://doi.org/10.3390/rs12213602
publishDate 2020
dc.date.none.fl_str_mv 2020-11-16T23:59:19Z
2020-11-02
2020-11-02T00:00:00Z
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/10362/107260
url http://hdl.handle.net/10362/107260
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2072-4292
PURE: 26406538
https://doi.org/10.3390/rs12213602
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 24
application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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