A parametric model for the autocorrelation function of space hyperspectral data
Автор: Sergeyev Vladislav Victorovich, Yuzkiv Ruslan Romanovich
Журнал: Компьютерная оптика @computer-optics
Рубрика: Короткое сообщение
Статья в выпуске: 3 т.40, 2016 года.
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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.
Autocorrelation function, space hyperspectral image, parametric model
Короткий адрес: https://sciup.org/14059480
IDR: 14059480 | DOI: 10.18287/0134-2452-2016-40-3-416-421
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