A4 Article in conference proceedings
Tree Species Recognition in Species Rich Area Using UAV-Borne Hyperspectral Imagery and Stereo-Photogrammetric Point Cloud (2017)

Tuominen, S., Näsi, R., Honkavaara, E., Balazs, A., Hakala, T., Viljanen, N., Pölönen, I., Saari, H., & Reinikainen, J. (2017). Tree Species Recognition in Species Rich Area Using UAV-Borne Hyperspectral Imagery and Stereo-Photogrammetric Point Cloud. In E. Honkavaara, B. Hu, K. Karantzalos, X. Liang, R. Müller, E. Nocerino, I. Pölönen, & P. Rönnholm (Eds.), ISPRS SPEC3D 2017 : Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions (pp. 185-194). International Society for Photogrammetry and Remote Sensing. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-3/W3. https://doi.org/10.5194/isprs-archives-XLII-3-W3-185-2017

JYU authors or editors

Publication details

All authors or editors: Tuominen, S.; Näsi, R.; Honkavaara, E.; Balazs, A.; Hakala, T.; Viljanen, N.; Pölönen, Ilkka; Saari, H.; Reinikainen, J.

Parent publication: ISPRS SPEC3D 2017 : Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions

Parent publication editors: Honkavaara, E.; Hu, B.; Karantzalos, K.; Liang, X.; Müller, R.; Nocerino, E.; Pölönen, Ilkka; Rönnholm, P.

Journal or series: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

ISSN: 1682-1750

eISSN: 2194-9034

Publication year: 2017

Number in series: Volume XLII-3/W3

Pages range: 185-194

Publisher: International Society for Photogrammetry and Remote Sensing

Publication language: English

DOI: https://doi.org/10.5194/isprs-archives-XLII-3-W3-185-2017

Persistent website address: https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-3-W3/185/2017/isprs-archives-XLII-3-W3-185-2017.pdf

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/55801

Additional information: Frontiers in Spectral imaging and 3D Technologies for Geospatial Solutions, 25–27 October 2017, Jyväskylä, Finland

Free keywords: hyperspectral imaging; UAVs; stereo-photogrammetry; photogrammetric point cloud; tree species recognition

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2017

JUFO rating: 1