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2 results on '"I. Näkki"'

1. UAS BASED TREE SPECIES IDENTIFICATION USING THE NOVEL FPI BASED HYPERSPECTRAL CAMERAS IN VISIBLE, NIR AND SWIR SPECTRAL RANGES

Author

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

Subjects
Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
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.

Published
2016
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2. UAS BASED TREE SPECIES IDENTIFICATION USING THE NOVEL FPI BASED HYPERSPECTRAL CAMERAS IN VISIBLE, NIR AND SWIR SPECTRAL RANGES

Author

Roope Näsi, Niko Viljanen, J. Reinikainen, I. Näkki, Sakari Tuominen, Ilkka Pölönen, Eija Honkavaara, J. Soukkamaki, Teemu Hakala, Heikki Saari, Harri Ojanen, Halounova, L., Šaafář, V., Toth, C. K., Karas, J., Huadong, G., Haala, N., Habib, A., Reinartz, P., Tang, X., Li, J., Armenakis, C., Grenzdörffer, G., Roux, P. le, Stylianidis, S., Blasi, R., Menard, M., Dufourmount, H., Li, Z., Šafář, V., Toth, C.K., le Roux, P., and Dufourmont, H.

Subjects
lcsh:Applied optics. Photonics, 010504 meteorology & atmospheric sciences, Remote sensing application, 0211 other engineering and technologies, Stereoscopy, 02 engineering and technology, puulajit, lcsh:Technology, 01 natural sciences, law.invention, law, Computer vision, fotogrammetria, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Remote sensing, lcsh:T, business.industry, lcsh:TA1501-1820, Hyperspectral imaging, SWIR, Interferometry, Identification (information), hyperspectral, Geography, Hyperspectral, lcsh:TA1-2040, Remote sensing (archaeology), Photogrammetry, RGB color model, UAS, Artificial intelligence, lcsh:Engineering (General). Civil engineering (General), business, Tree species
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.

Published
2016
Full Text
View/download PDF

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