Comparison between two radiometric calibration methods applied to UAV multispectral images

Detalhes bibliográficos
Autor(a) principal: Porto, L. R. [UNESP]
Data de Publicação: 2020
Outros Autores: Imai, N. N. [UNESP], Berveglieri, A. [UNESP], Miyoshi, G. T. [UNESP], Moriya, E. A.S. [UNESP], Tommaselli, A. M.G. [UNESP], Honkavaara, E.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1117/12.2579346
http://hdl.handle.net/11449/206737
Resumo: There are many advantages of using unmanned aerial vehicles (UAVs) in remote sensing but when using radiometrically corrected multispectral images. This study focuses on two techniques of obtain a multispectral orthomosaic with suitable radiometric quality considering a day period with minor variations in illumination and clouds. The first technique comprises a radiometric block adjustment combined with empirical line whilst the second technique uses only empirical line. Field measurements with spectrometers were used to assess the techniques. The obtained results show that the radiometric block adjustment presented better results when compared to the radiometric reference targets and its calculated Hemispherical Conical Reflectance Factor (HCRF) from the spectrometer. However, the root mean square error (RMSE), normalized root mean square error (NRMSE) and mean absolute percentage error (MAPE) were similar in both cases, showing that the two proposed workflows can generate multispectral mosaics with acceptable radiometric quality for a period in which illumination conditions are stable. Images difference between each band was produced showing that there was a stronger variation of pixels in the higher slope region, which indicates that additional corrections beyond empirical line are needed in these situations.
id UNSP_d4100df9f309fca58d49d085b79191b1
oai_identifier_str oai:repositorio.unesp.br:11449/206737
network_acronym_str UNSP
network_name_str Repositório Institucional da UNESP
repository_id_str 2946
spelling Comparison between two radiometric calibration methods applied to UAV multispectral imagesEmpirical lineImage processingMosaic generationMultispectral imagesRadiometric block adjustmentUnmanned aerial vehicles - UAVThere are many advantages of using unmanned aerial vehicles (UAVs) in remote sensing but when using radiometrically corrected multispectral images. This study focuses on two techniques of obtain a multispectral orthomosaic with suitable radiometric quality considering a day period with minor variations in illumination and clouds. The first technique comprises a radiometric block adjustment combined with empirical line whilst the second technique uses only empirical line. Field measurements with spectrometers were used to assess the techniques. The obtained results show that the radiometric block adjustment presented better results when compared to the radiometric reference targets and its calculated Hemispherical Conical Reflectance Factor (HCRF) from the spectrometer. However, the root mean square error (RMSE), normalized root mean square error (NRMSE) and mean absolute percentage error (MAPE) were similar in both cases, showing that the two proposed workflows can generate multispectral mosaics with acceptable radiometric quality for a period in which illumination conditions are stable. Images difference between each band was produced showing that there was a stronger variation of pixels in the higher slope region, which indicates that additional corrections beyond empirical line are needed in these situations.Post Graduate Program in Cartographic Science São Paulo State University (UNESP)Dept. of Cartography São Paulo State University (UNESP)Finnish Geodetic Inst.Post Graduate Program in Cartographic Science São Paulo State University (UNESP)Dept. of Cartography São Paulo State University (UNESP)Universidade Estadual Paulista (Unesp)Finnish Geodetic Inst.Porto, L. R. [UNESP]Imai, N. N. [UNESP]Berveglieri, A. [UNESP]Miyoshi, G. T. [UNESP]Moriya, E. A.S. [UNESP]Tommaselli, A. M.G. [UNESP]Honkavaara, E.2021-06-25T10:37:21Z2021-06-25T10:37:21Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1117/12.2579346Proceedings of SPIE - The International Society for Optical Engineering, v. 11533.1996-756X0277-786Xhttp://hdl.handle.net/11449/20673710.1117/12.25793462-s2.0-85093974489Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of SPIE - The International Society for Optical Engineeringinfo:eu-repo/semantics/openAccess2024-06-18T15:02:41Zoai:repositorio.unesp.br:11449/206737Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:02:41Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Comparison between two radiometric calibration methods applied to UAV multispectral images
title Comparison between two radiometric calibration methods applied to UAV multispectral images
spellingShingle Comparison between two radiometric calibration methods applied to UAV multispectral images
Porto, L. R. [UNESP]
Empirical line
Image processing
Mosaic generation
Multispectral images
Radiometric block adjustment
Unmanned aerial vehicles - UAV
title_short Comparison between two radiometric calibration methods applied to UAV multispectral images
title_full Comparison between two radiometric calibration methods applied to UAV multispectral images
title_fullStr Comparison between two radiometric calibration methods applied to UAV multispectral images
title_full_unstemmed Comparison between two radiometric calibration methods applied to UAV multispectral images
title_sort Comparison between two radiometric calibration methods applied to UAV multispectral images
author Porto, L. R. [UNESP]
author_facet Porto, L. R. [UNESP]
Imai, N. N. [UNESP]
Berveglieri, A. [UNESP]
Miyoshi, G. T. [UNESP]
Moriya, E. A.S. [UNESP]
Tommaselli, A. M.G. [UNESP]
Honkavaara, E.
author_role author
author2 Imai, N. N. [UNESP]
Berveglieri, A. [UNESP]
Miyoshi, G. T. [UNESP]
Moriya, E. A.S. [UNESP]
Tommaselli, A. M.G. [UNESP]
Honkavaara, E.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Finnish Geodetic Inst.
dc.contributor.author.fl_str_mv Porto, L. R. [UNESP]
Imai, N. N. [UNESP]
Berveglieri, A. [UNESP]
Miyoshi, G. T. [UNESP]
Moriya, E. A.S. [UNESP]
Tommaselli, A. M.G. [UNESP]
Honkavaara, E.
dc.subject.por.fl_str_mv Empirical line
Image processing
Mosaic generation
Multispectral images
Radiometric block adjustment
Unmanned aerial vehicles - UAV
topic Empirical line
Image processing
Mosaic generation
Multispectral images
Radiometric block adjustment
Unmanned aerial vehicles - UAV
description There are many advantages of using unmanned aerial vehicles (UAVs) in remote sensing but when using radiometrically corrected multispectral images. This study focuses on two techniques of obtain a multispectral orthomosaic with suitable radiometric quality considering a day period with minor variations in illumination and clouds. The first technique comprises a radiometric block adjustment combined with empirical line whilst the second technique uses only empirical line. Field measurements with spectrometers were used to assess the techniques. The obtained results show that the radiometric block adjustment presented better results when compared to the radiometric reference targets and its calculated Hemispherical Conical Reflectance Factor (HCRF) from the spectrometer. However, the root mean square error (RMSE), normalized root mean square error (NRMSE) and mean absolute percentage error (MAPE) were similar in both cases, showing that the two proposed workflows can generate multispectral mosaics with acceptable radiometric quality for a period in which illumination conditions are stable. Images difference between each band was produced showing that there was a stronger variation of pixels in the higher slope region, which indicates that additional corrections beyond empirical line are needed in these situations.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
2021-06-25T10:37:21Z
2021-06-25T10:37:21Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1117/12.2579346
Proceedings of SPIE - The International Society for Optical Engineering, v. 11533.
1996-756X
0277-786X
http://hdl.handle.net/11449/206737
10.1117/12.2579346
2-s2.0-85093974489
url http://dx.doi.org/10.1117/12.2579346
http://hdl.handle.net/11449/206737
identifier_str_mv Proceedings of SPIE - The International Society for Optical Engineering, v. 11533.
1996-756X
0277-786X
10.1117/12.2579346
2-s2.0-85093974489
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings of SPIE - The International Society for Optical Engineering
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1803045556212203520