UAS BASED TREE SPECIES IDENTIFICATION USING THE NOVEL FPI BASED HYPERSPECTRAL CAMERAS IN VISIBLE, NIR AND SWIR SPECTRAL RANGES
| Autor: | Roope Näsi, Niko Viljanen, J. Reinikainen, I. Näkki, Sakari Tuominen, Ilkka Pölönen, Eija Honkavaara, J. Soukkamaki, Teemu Hakala, Heikki Saari, Harri Ojanen |
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| Přispěvatelé: | 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., Dufourmont, H. |
| Rok vydání: | 2016 |
| Předmět: |
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 |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B1, Pp 1143-1148 (2016) 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 Šafář, C K Toth, J Karas, G Huadong, N Haala, A Habib, P Reinartz, X Tang, J Li, C Armenakis, G Grenzdörffer, P le Roux, S Stylianidis, R Blasi, M Menard, H Dufourmont & Z Li (eds), XXIII ISPRS Congress, Commission I . Copernicus Publications, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLI-B1, pp. 1143-1148, 23rd ISPRS Congress, Prague, Czech Republic, 12/07/16 . https://doi.org/10.5194/isprsarchives-XLI-B1-1143-2016 |
| ISSN: | 2194-9034 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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