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dc.contributor.authorOliveira, Raquel A. de [UNESP]
dc.contributor.authorTommaselli, Antonio M. G. [UNESP]
dc.contributor.authorHonkavaara, Eija
dc.contributor.authorIOP
dc.date.accessioned2018-11-26T17:15:38Z
dc.date.available2018-11-26T17:15:38Z
dc.date.issued2016-01-01
dc.identifierhttp://dx.doi.org/10.1088/1755-1315/44/4/042029
dc.identifier.citationWorld Multidisciplinary Earth Sciences Symposium (wmess 2016), Pts 1-4. Bristol: Iop Publishing Ltd, v. 44, 5 p., 2016.
dc.identifier.issn1755-1307
dc.identifier.urihttp://hdl.handle.net/11449/162327
dc.description.abstractObjective of this work was to investigate the feasibility of using multi-image matching and information extracted from image classification to improve strategies in generation of point clouds of 3D forest scene. Image data sets were collected by a Fabry-Perot interferometer (FPI) based hyperspectral frame camera on-board a UAV in a boreal forest area. The results of the new method are analysed and compared with commercial software and LiDAR data. Experiments showed that the point clouds generated with the proposed algorithm fitted better with the LiDAR data at the ground level, which is favourable for digital terrain model (DTM) extraction.en
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipAcademy of Finland
dc.format.extent5
dc.language.isoeng
dc.publisherIop Publishing Ltd
dc.relation.ispartofWorld Multidisciplinary Earth Sciences Symposium (wmess 2016), Pts 1-4
dc.sourceWeb of Science
dc.titleUsing Hyperspectral Frame Images from Unmanned Airborne Vehicle for Detailed Measurement of Boreal Forest 3D Structureen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://iopscience.iop.org/page/copyright
dcterms.rightsHolderIop Publishing Ltd
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionFinnish Geospatial Res Inst FGI
dc.description.affiliationUniv Estadual Paulista, Dept Cartog, Roberto Simonsen 305, BR-19060900 Presidente Prudente, SP, Brazil
dc.description.affiliationFinnish Geospatial Res Inst FGI, Geodeetinrinne 2, FI-02430 Masala, Finland
dc.description.affiliationUnespUniv Estadual Paulista, Dept Cartog, Roberto Simonsen 305, BR-19060900 Presidente Prudente, SP, Brazil
dc.identifier.doi10.1088/1755-1315/44/4/042029
dc.identifier.wosWOS:000391485900094
dc.rights.accessRightsAcesso aberto
dc.description.sponsorshipIdFAPESP: 2013/14444-0
dc.description.sponsorshipIdAcademy of Finland: 273806
dc.identifier.fileWOS000391485900094.pdf
unesp.author.lattes5493428631948910[2]
unesp.author.orcid0000-0002-7236-2145[3]
unesp.author.orcid0000-0003-0483-1103[2]
dc.relation.ispartofsjr0,149
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