@inproceedings{8088c810cb984d27bb319dd44c2ab465,
title = "Uas based tree species identification using the novel fpi based hyperspectral cameras in visible, nir and swir spectral ranges",
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.",
keywords = "Hyperspectral, Photogrammetry, SWIR, Tree species, UAS",
author = "R. N{\"a}si and E. Honkavaara and S. Tuominen and H. Saari and I. P{\"o}l{\"o}nen and T. Hakala and N. Viljanen and J. Soukkam{\"a}ki and I. N{\"a}kki and H. Ojanen and J. Reinikainen",
year = "2016",
month = jan
day = "1",
doi = "10.5194/isprsarchives-XLI-B1-1143-2016",
language = "English",
series = "International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences",
publisher = "International Society for Photogrammetry and Remote Sensing ISPRS",
pages = "1143--1148",
booktitle = "XXIII ISPRS Congress, Commission I",
note = "23rd International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Congress, ISPRS 2016 ; Conference date: 12-07-2016 Through 19-07-2016",
}