This article is cited in 7 papers

SHORT MESSAGE

A parametric model for the autocorrelation function of space hyperspectral data

V. V. Sergeev^ab, R. R. Yuzkiv<sup>a

a</sup> Samara National Research University, Samara, Russia
^b Image Processing Systems Institute оf RAS,– Branch of the FSRC “Crystallography and Photonics” RAS, Samara, Russia

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.

Keywords: autocorrelation function, space hyperspectral image, parametric model.

Received: 20.05.2016
Accepted: 20.05.2016

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