Classification of the hyperspectral data of the Earth remote sensing
Автор: Buchnev Aleksey A., Pyatkin Valeriy P.
Журнал: Журнал Сибирского федерального университета. Серия: Техника и технологии @technologies-sfu
Статья в выпуске: 5 т.12, 2019 года.
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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.
Remote sensing, hyperspectral data, clustering, k-means algorithm, supervised classification, bayesian classifier, spectral-angular mapping classifier
Короткий адрес: https://sciup.org/146281217
IDR: 146281217 | DOI: 10.17516/1999-494X-0109
