UAS based tree species identification using the novel FPI based hyperspectral cameras in visible, NIR and SWIR spectral ranges

Näsi, R.; Honkavaara, E.; Tuominen, S.; Saari, H.; Pölönen, Ilkka; Hakala, T.; Viljanen, N.; Soukkamäki, J.; Näkki, I.; Ojanen, H.; Reinikainen, J.

doi:10.5194/isprs-archives-XLI-B1-1149-2016

dc.contributor.author	Näsi, R.
dc.contributor.author	Honkavaara, E.
dc.contributor.author	Tuominen, S.
dc.contributor.author	Saari, H.
dc.contributor.author	Pölönen, Ilkka
dc.contributor.author	Hakala, T.
dc.contributor.author	Viljanen, N.
dc.contributor.author	Soukkamäki, J.
dc.contributor.author	Näkki, I.
dc.contributor.author	Ojanen, H.
dc.contributor.author	Reinikainen, J.
dc.contributor.editor	Halounova, L.
dc.contributor.editor	Šaafář, V.
dc.contributor.editor	Toth, C. K.
dc.contributor.editor	Karas, J.
dc.contributor.editor	Huadong, G.
dc.contributor.editor	Haala, N.
dc.contributor.editor	Habib, A.
dc.contributor.editor	Reinartz, P.
dc.contributor.editor	Tang, X.
dc.contributor.editor	Li, J.
dc.contributor.editor	Armenakis, C.
dc.contributor.editor	Grenzdörffer, G.
dc.contributor.editor	Roux, P. le
dc.contributor.editor	Stylianidis, S.
dc.contributor.editor	Blasi, R.
dc.contributor.editor	Menard, M.
dc.contributor.editor	Dufourmount, H.
dc.contributor.editor	Li, Z.
dc.date.accessioned	2016-08-29T09:37:59Z
dc.date.available	2016-08-29T09:37:59Z
dc.date.issued	2016
dc.identifier.citation	Näsi, R., Honkavaara, E., Tuominen, S., Saari, H., Pölönen, I., Hakala, T., Viljanen, N., Soukkamäki, J., Näkki, I., Ojanen, H., & Reinikainen, J. (2016). UAS based tree species identification using the novel FPI based hyperspectral cameras in visible, NIR and SWIR spectral ranges. In L. Halounova, V. Šaafář, C. K. Toth, J. Karas, G. Huadong, N. Haala, A. Habib, P. Reinartz, X. Tang, J. Li, C. Armenakis, G. Grenzdörffer, P. L. Roux, S. Stylianidis, R. Blasi, M. Menard, H. Dufourmount, & Z. Li (Eds.), <i>Proceedings of the XXIII ISPRS Congress</i> (pp. 1143-1148). International Society for Photogrammetry and Remote Sensing. International archives of the photogrammetry, remote sensing and spatial information sciences, Volume XLI-B1. <a href="https://doi.org/10.5194/isprs-archives-XLI-B1-1149-2016" target="_blank">https://doi.org/10.5194/isprs-archives-XLI-B1-1149-2016</a>
dc.identifier.other	CONVID_26131605
dc.identifier.other	TUTKAID_70733
dc.identifier.uri	https://jyx.jyu.fi/handle/123456789/51112
dc.description.abstract	Unmanned airborne systems (UAS) based remote sensing offers flexible tool for environmental monitoring. Novel lightweight Fabry-Perot interferometer (FPI) based, frame format, hyperspectral imaging in the spectral range from 400 to 1600 nm was used for identifying different species of trees in a forest area. To the best of the authors’ knowledge, this was the first research where stereoscopic, hyperspectral VIS, NIR, SWIR data is collected for tree species identification using UAS. The first results of the analysis based on fusion of two FPI-based hyperspectral imagers and RGB camera showed that the novel FPI hyperspectral technology provided accurate geometric, radiometric and spectral information in a forested scene and is operational for environmental remote sensing applications.
dc.language.iso	eng
dc.publisher	International Society for Photogrammetry and Remote Sensing
dc.relation.ispartof	Proceedings of the XXIII ISPRS Congress
dc.relation.ispartofseries	International archives of the photogrammetry, remote sensing and spatial information sciences
dc.relation.uri	http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B1/1143/2016/isprs-archives-XLI-B1-1143-2016.pdf
dc.subject.other	UAS
dc.subject.other	hyperspectral
dc.subject.other	SWIR
dc.title	UAS based tree species identification using the novel FPI based hyperspectral cameras in visible, NIR and SWIR spectral ranges
dc.type	conferenceObject
dc.identifier.urn	URN:NBN:fi:jyu-201607263675
dc.contributor.laitos	Tietotekniikan laitos	fi
dc.contributor.laitos	Department of Mathematical Information Technology	en
dc.contributor.oppiaine	Tietotekniikka	fi
dc.contributor.oppiaine	Mathematical Information Technology	en
dc.type.uri	http://purl.org/eprint/type/ConferencePaper
dc.date.updated	2016-07-26T12:15:13Z
dc.type.coar	conference paper
dc.description.reviewstatus	peerReviewed
dc.format.pagerange	1143-1148
dc.relation.issn	1682-1750
dc.type.version	publishedVersion
dc.rights.copyright	© the Authors, 2016. This is an open access article distributed under the terms of Creative Commons License.
dc.rights.accesslevel	openAccess	fi
dc.relation.conference	Congress of the International Society for Photogrammetry and Remote Sensing
dc.subject.yso	fotogrammetria
dc.subject.yso	puulajit
jyx.subject.uri	http://www.yso.fi/onto/yso/p2525
jyx.subject.uri	http://www.yso.fi/onto/yso/p13848
dc.rights.url	https://creativecommons.org/licenses/by/3.0/
dc.relation.doi	10.5194/isprs-archives-XLI-B1-1149-2016

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