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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLI-B1
https://doi.org/10.5194/isprs-archives-XLI-B1-1143-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/isprs-archives-XLI-B1-1143-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
06 Jun 2016
UAS BASED TREE SPECIES IDENTIFICATION USING THE NOVEL FPI BASED HYPERSPECTRAL CAMERAS IN VISIBLE, NIR AND SWIR SPECTRAL RANGES
R. Näsi
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, Geodeetinrinne 2, FI-02430 Masala, Finland
E. Honkavaara
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, Geodeetinrinne 2, FI-02430 Masala, Finland
S. Tuominen
Natural Resources Institute Finland (Luke), PO Box 18, FI-01301 Vantaa, Finland
H. Saari
VTT Microelectronics, P.O.Box 1000, FI-02044 VTT, Finland
I. Pölönen
Department of Mathematical Information Tech., University of Jyväskylä, P.O.Box 35, FI-40014, Jyväskylä, Finland
T. Hakala
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, Geodeetinrinne 2, FI-02430 Masala, Finland
N. Viljanen
Department of Remote Sensing and Photogrammetry, Finnish Geospatial Research Institute, Geodeetinrinne 2, FI-02430 Masala, Finland
J. Soukkamäki
Rikola Ltd, Kaitoväylä 1F2, FI-90590, Oulu, Finland
I. Näkki
VTT Microelectronics, P.O.Box 1000, FI-02044 VTT, Finland
H. Ojanen
VTT Microelectronics, P.O.Box 1000, FI-02044 VTT, Finland
J. Reinikainen
Arboretum Mustila Foundation, Mustilantie 57, FI-47200 Elimäki, Finland
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