Journal of Siberian Federal University. Engineering & Technologies / The Problems of Airborne Hyperspectral Monitoring of Soil and Vegetation Cover

Full text (.pdf)
Issue
Journal of Siberian Federal University. Engineering & Technologies. 2015 8 (8)
Authors
Dmitriev, Egor V.; Kozoderov, Vladimir V.
Contact information
Dmitriev, Egor V.:Institute of Numerical Mathematics RAS 8 Gubkin Str., Moscow, 119333, Russia; E-mail: yegor@mail.ru; Kozoderov, Vladimir V.:Lomonosov Moscow State University GSP-1, Leninskie Gory, Moscow, 119991, Russia
Keywords
remote sensing; hyperspectral measurements; aerospace images; pattern recognition; vegetation cover
Abstract

The problem of remote sensing of soil and vegetation cover using airborne hyperspectral cameras is considered. The modern state of development of airspace measuring instruments with high spectral resolution is analyzed. The problems and solution methods of the thematic processing of hyperspectral images are discussed. Applications of the optimal Bayesian classification for the recognition of the forest stand species are investigated. The method of the effective reduction of the dimensionality of the feature space is proposed. The classification accuracy for the selected test areas is estimated

Pages
1083-1095
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/20067

Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

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