Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2011, Vol. 8, No. 3, pp. 55-63
Computational aspects of classificators construction with different complexity using hyperspectral airspace imagery processing
V.V. Kozoderov
1, E.V. Dmitriev
2, V.D. Egorov
2, V.V Borzyak
11 M.V.Lomonosov Moscow State University
2 Institute of Numerical Mathematics of Russian Academy of Sciences
Results of georeferenced hyperspectral and air photo imagery are considered for classification of natural and anthropogenic objects. Main attention is paid to computational aspects of the area contours separation for the objects within a scene under processing. The smoke from forest fires, sources of the fires as well as the forest vegetation areas without the fires and smoke are filled in the contours. Characteristic features of the spectra for the objects under study and their variability within the selected contours are shown using hyperspectral airborne data processing.
Keywords: hyperspectral airspace imagery, data processing, spectra analysis
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