Journal of Siberian Federal University. Engineering & Technologies / Classification of the Hyperspectral Data of the Earth Remote Sensing

Full text (.pdf)
Issue
Journal of Siberian Federal University. Engineering & Technologies. 2019 12 (5)
Authors
Buchnev, Aleksey A.; Pyatkin, Valeriy P.
Contact information
Buchnev, Aleksey A.: Institute of Computational Mathematics and Mathematical Geophysics SB RAS 6 Akademician M.A. Lavrenteva, Novosibirsk, 630090, Russia; ; Pyatkin, Valeriy P.: Institute of Computational Mathematics and Mathematical Geophysics SB RAS 6 Akademician M.A. Lavrenteva, Novosibirsk, 630090, Russia;
Keywords
remote sensing; hyperspectral data; clustering; K-means algorithm; supervised classification; Bayesian classifier; spectral-angular mapping classifier
Abstract

The system of classification of hyperspectral data of the Earth remote sensing is discussed. This system consists of automatic (cluster analysis) and supervised classifications. Applicability of Byes classifier for the normally distributed feature vectors to processing of these data is estimated. Realization of the classifier of spectral-angular mapping is described

Pages
536-541
DOI
10.17516/1999-494X-0109
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/109120

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