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Параметрическая модель автокорреляционной функции космических гиперспектральных изображений

Параметрическая модель автокорреляционной функции космических гиперспектральных изображений

Abstract

A new parametric model for the autocorrelation function of space hyperspectral data has been proposed. A heuristic algorithm for estimating the model parameters has been developed. The proposed model has been demonstrated to provide a good approximation of the observed autocorrelation functions.

Предложена параметрическая модель трёхмерной автокорреляционной функции для космических гиперспектральных изображений. Описывается эвристический алгоритм приближённой оценки параметров. Демонстрируются хорошие результаты аппроксимации наблюдаемых автокорреляционных функций предложенной моделью.

Keywords

автокорреляционная функция, космические гиперспектральные изображения, параметрическая модель.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold