A parametric model for the autocorrelation function of space hyperspectral data

Sergeyev Vladislav Victorovich Yuzkiv Ruslan Romanovich

Journal: Компьютерная оптика @computer-optics

Section: Короткое сообщение

Article in issue: 3 т.40, 2016.

Free access

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

Short address: https://sciup.org/14059480

IDS: 14059480   |   DOI: 10.18287/0134-2452-2016-40-3-416-421