Combining Classifiers in the Problem of Thematic Processing of Hyperspectral Aerospace Images
- 作者: Dmitriev E.V.1, Kozoderov V.V.2, Dementyev A.O.1, Safonova A.N.3
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隶属关系:
- Institute of Numerical Mathematics
- Moscow State University
- Institute of Space and Information Technologies
- 期: 卷 54, 编号 3 (2018)
- 页面: 213-221
- 栏目: Analysis and Synthesis of Signals and Images
- URL: https://journals.rcsi.science/8756-6990/article/view/212428
- DOI: https://doi.org/10.3103/S8756699018030019
- ID: 212428
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详细
This paper describes a problem of thematic processing of hyperspectral aerospace images. A recommended technique is based on a decoding algorithm and makes it possible to construct an effective algorithm of multiclass classification based on combining standard algorithms of binary classification of various complexity. The reason for choosing the configuration of the classification algorithm is given. Test calculations based on model and real data are used to show the effectiveness of the proposed approach to recognizing objects from hyperspectral images.
作者简介
E. Dmitriev
Institute of Numerical Mathematics
编辑信件的主要联系方式.
Email: yegor@mail.ru
俄罗斯联邦, ul. Gubkina 8, Moscow, 119333
V. Kozoderov
Moscow State University
Email: yegor@mail.ru
俄罗斯联邦, Leninskie Gory 1, Moscow, 119991
A. Dementyev
Institute of Numerical Mathematics
Email: yegor@mail.ru
俄罗斯联邦, ul. Gubkina 8, Moscow, 119333
A. Safonova
Institute of Space and Information Technologies
Email: yegor@mail.ru
俄罗斯联邦, ul. Academika Kirenskogo 26, korp. 1, Krasnoyarsk, 660074
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