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Assessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity

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dc.contributor.authorTuominen, Sakari
dc.contributor.authorNäsi, Roope
dc.contributor.authorHonkavaara, Eija
dc.contributor.authorBalazs, Andras
dc.contributor.authorHakala, Teemu
dc.contributor.authorViljanen, Niko
dc.contributor.authorPölönen, Ilkka
dc.contributor.authorSaari, Heikki
dc.contributor.authorOjanen, Harri
dc.contributor.departmentLuke / Biotalous ja ympäristö / Metsävarojen inventointi ja metsäsuunnittelu (4100310510)-
dc.contributor.departmentid4100310510-
dc.contributor.otherFinnish Geospatial Research Institute, National Land Survey of Finland-
dc.contributor.otherUniversity of Jyväskylä-
dc.contributor.otherVTT-
dc.date.accessioned2018-05-09T12:53:37Z
dc.date.accessioned2025-05-28T19:23:53Z
dc.date.available2018-05-09T12:53:37Z
dc.date.issued2018
dc.description.vuosik2018
dc.format.bitstreamfalse
dc.format.pagerange28-
dc.identifier.olddbid484128
dc.identifier.oldhandle10024/541828
dc.identifier.urihttps://jukuri.luke.fi/handle/11111/35099
dc.language.isoeng-
dc.okm.corporatecopublicationon-
dc.okm.discipline213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikka-
dc.okm.discipline4112 Metsätiede-
dc.okm.internationalcopublicationei-
dc.okm.openaccess1 = Open access -julkaisukanavassa ilmestynyt julkaisu-
dc.okm.selfarchivedei-
dc.publisherMDPI-
dc.relation.doidoi:10.3390/rs10050714-
dc.relation.ispartofseriesRemote Sensing-
dc.relation.issn2072-4292-
dc.relation.numberinseries5-
dc.relation.volume10-
dc.source.identifierhttps://jukuri.luke.fi/handle/10024/541828
dc.subject.agriforspuulajit-
dc.subject.agrovocphotogrammetry-
dc.subject.agrovocmachine learning-
dc.subject.keywordhyperspectral imagery-
dc.subject.keywordtree species recognition-
dc.subject.keyworddense point cloud-
dc.subject.keywordreflectance calibration-
dc.subject.keywordUAV-
dc.subject.keywordrandom forest-
dc.subject.keywordgenetic algorithm-
dc.subject.ysafotogrammetria-
dc.teh41007-00031400-
dc.tehOH300-S42106-02-01-01-
dc.titleAssessment of Classifiers and Remote Sensing Features of Hyperspectral Imagery and Stereo-Photogrammetric Point Clouds for Recognition of Tree Species in a Forest Area of High Species Diversity-
dc.type.okmfi=A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä|sv=A1 Originalartikel i en vetenskaplig tidskrift|en=A1 Journal article (refereed), original research|-
dc.virta2019

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