Тип публикации: статья из журнала

Год издания: 2018

Идентификатор DOI: 10.3103/S8756699018030019

Ключевые слова: remote sensing, hyperspectral images, pattern recognition, thematic processing, classification

Аннотация: 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 foПоказать полностьюr 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.

Журнал: OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING

Выпуск журнала: Vol. 54, Is. 3

Номера страниц: 213-221

ISSN журнала: 87566990

Место издания: NEW YORK

Издатель: SPRINGER

• Dmitriev E.V. (Russian Acad Sci, Inst Numer Math, Ul Gubkina 8, Moscow 119333, Russia)
• Kozoderov V.V. (Moscow MV Lomonosov State Univ, Leninskie Gory 1, Moscow 119991, Russia)
• Dementyev A.O. (Russian Acad Sci, Inst Numer Math, Ul Gubkina 8, Moscow 119333, Russia)
• Safonova A.N. (Siberian Fed Univ, Inst Space & Informat Technol, Ul Acad Kirenskogo 26,Korp 1, Krasnoyarsk 660074, Russia)

• Web of Science Core Collection
• Scopus