Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment

Detalhes bibliográficos
Autor(a) principal: Miyoshi, Gabriela Takahashi [UNESP]
Data de Publicação: 2018
Outros Autores: Imai, Nilton Nobuhiro [UNESP], Tommaselli, Antonio Maria Garcia [UNESP], Honkavaara, Eija, Näsi, Roope, Moriya, Érika Akemi Saito [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1080/01431161.2018.1425570
http://hdl.handle.net/11449/175793
Resumo: The objective of this investigation was to study and optimize a hyperspectral unmanned aerial vehicle (UAV)-based remote-sensing system for the Brazilian environment. Comprised mainly of forest and sugarcane, the study area was located in the western region of the State of São Paulo. A novel hyperspectral camera based on a tunable Fabry–Pérot interferometer was mounted aboard a UAV due to its flexibility and capability to acquire data with a high temporal and spatial resolution. Five approaches designed to produce mosaics of hyperspectral images, which represent the hemispherical directional reflectance factor of targets in the Brazilian environment, are presented and evaluated. The method considers the irradiance variation during image acquisition and the effects of the bidirectional reflectance distribution function. The main goal was achieved by comparing the spectral responses of radiometric reference targets acquired with a spectroradiometer in the field with those produced by the five different approaches. The best results were achieved by correcting the bidirectional reflectance distribution function effects and by applying a least squares method to a radiometric block adjustment using only the image data, thereby achieving a root mean square error of 11.35%.
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spelling Radiometric block adjustment of hyperspectral image blocks in the Brazilian environmentThe objective of this investigation was to study and optimize a hyperspectral unmanned aerial vehicle (UAV)-based remote-sensing system for the Brazilian environment. Comprised mainly of forest and sugarcane, the study area was located in the western region of the State of São Paulo. A novel hyperspectral camera based on a tunable Fabry–Pérot interferometer was mounted aboard a UAV due to its flexibility and capability to acquire data with a high temporal and spatial resolution. Five approaches designed to produce mosaics of hyperspectral images, which represent the hemispherical directional reflectance factor of targets in the Brazilian environment, are presented and evaluated. The method considers the irradiance variation during image acquisition and the effects of the bidirectional reflectance distribution function. The main goal was achieved by comparing the spectral responses of radiometric reference targets acquired with a spectroradiometer in the field with those produced by the five different approaches. The best results were achieved by correcting the bidirectional reflectance distribution function effects and by applying a least squares method to a radiometric block adjustment using only the image data, thereby achieving a root mean square error of 11.35%.Academy of FinlandPostgraduate Program in Cartographic Science School of Technology and Science São Paulo State University (UNESP)Department of Cartography São Paulo State University (UNESP)Department of Remote Sensing and Photogrammetry Finnish Geospatial Research Institute FGIPostgraduate Program in Cartographic Science School of Technology and Science São Paulo State University (UNESP)Department of Cartography São Paulo State University (UNESP)Academy of Finland: 273806Universidade Estadual Paulista (Unesp)Finnish Geospatial Research Institute FGIMiyoshi, Gabriela Takahashi [UNESP]Imai, Nilton Nobuhiro [UNESP]Tommaselli, Antonio Maria Garcia [UNESP]Honkavaara, EijaNäsi, RoopeMoriya, Érika Akemi Saito [UNESP]2018-12-11T17:17:31Z2018-12-11T17:17:31Z2018-08-18info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article4910-4930application/pdfhttp://dx.doi.org/10.1080/01431161.2018.1425570International Journal of Remote Sensing, v. 39, n. 15-16, p. 4910-4930, 2018.1366-59010143-1161http://hdl.handle.net/11449/17579310.1080/01431161.2018.14255702-s2.0-850411023382-s2.0-85041102338.pdf29857711025053300000-0003-0516-0567Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Journal of Remote Sensing0,7960,796info:eu-repo/semantics/openAccess2024-06-18T15:01:52Zoai:repositorio.unesp.br:11449/175793Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:31:42.755385Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment
title Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment
spellingShingle Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment
Miyoshi, Gabriela Takahashi [UNESP]
title_short Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment
title_full Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment
title_fullStr Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment
title_full_unstemmed Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment
title_sort Radiometric block adjustment of hyperspectral image blocks in the Brazilian environment
author Miyoshi, Gabriela Takahashi [UNESP]
author_facet Miyoshi, Gabriela Takahashi [UNESP]
Imai, Nilton Nobuhiro [UNESP]
Tommaselli, Antonio Maria Garcia [UNESP]
Honkavaara, Eija
Näsi, Roope
Moriya, Érika Akemi Saito [UNESP]
author_role author
author2 Imai, Nilton Nobuhiro [UNESP]
Tommaselli, Antonio Maria Garcia [UNESP]
Honkavaara, Eija
Näsi, Roope
Moriya, Érika Akemi Saito [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Finnish Geospatial Research Institute FGI
dc.contributor.author.fl_str_mv Miyoshi, Gabriela Takahashi [UNESP]
Imai, Nilton Nobuhiro [UNESP]
Tommaselli, Antonio Maria Garcia [UNESP]
Honkavaara, Eija
Näsi, Roope
Moriya, Érika Akemi Saito [UNESP]
description The objective of this investigation was to study and optimize a hyperspectral unmanned aerial vehicle (UAV)-based remote-sensing system for the Brazilian environment. Comprised mainly of forest and sugarcane, the study area was located in the western region of the State of São Paulo. A novel hyperspectral camera based on a tunable Fabry–Pérot interferometer was mounted aboard a UAV due to its flexibility and capability to acquire data with a high temporal and spatial resolution. Five approaches designed to produce mosaics of hyperspectral images, which represent the hemispherical directional reflectance factor of targets in the Brazilian environment, are presented and evaluated. The method considers the irradiance variation during image acquisition and the effects of the bidirectional reflectance distribution function. The main goal was achieved by comparing the spectral responses of radiometric reference targets acquired with a spectroradiometer in the field with those produced by the five different approaches. The best results were achieved by correcting the bidirectional reflectance distribution function effects and by applying a least squares method to a radiometric block adjustment using only the image data, thereby achieving a root mean square error of 11.35%.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-11T17:17:31Z
2018-12-11T17:17:31Z
2018-08-18
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://dx.doi.org/10.1080/01431161.2018.1425570
International Journal of Remote Sensing, v. 39, n. 15-16, p. 4910-4930, 2018.
1366-5901
0143-1161
http://hdl.handle.net/11449/175793
10.1080/01431161.2018.1425570
2-s2.0-85041102338
2-s2.0-85041102338.pdf
2985771102505330
0000-0003-0516-0567
url http://dx.doi.org/10.1080/01431161.2018.1425570
http://hdl.handle.net/11449/175793
identifier_str_mv International Journal of Remote Sensing, v. 39, n. 15-16, p. 4910-4930, 2018.
1366-5901
0143-1161
10.1080/01431161.2018.1425570
2-s2.0-85041102338
2-s2.0-85041102338.pdf
2985771102505330
0000-0003-0516-0567
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv International Journal of Remote Sensing
0,796
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dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 4910-4930
application/pdf
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
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