A parametric model for the autocorrelation function of space hyperspectral data
V.V. Sergeev, R.R. Yuzkiv

 

 Image Processing Systems Institute оf RAS, – Branch of the FSRC “Crystallography and Photonics” RAS, Samara, Russia,
Samara National Research University, Samara, Russia

Full text of article: Russian language.

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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 data, parametric model.

Citation:
Sergeev VV, Yuzkiv RR. A parametric model for the autocorrelation function of space hyperspectral data. Computer Optics 2016; 40(3): 416-421. DOI: 10.18287/0134-2452-2016-40-3-416-421.

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