|
This article is cited in 6 scientific papers (total in 6 papers)
SHORT MESSAGE
A parametric model for the autocorrelation function of space hyperspectral data
V. V. Sergeevab, R. R. Yuzkiva a Samara National Research University, Samara, Russia
b Image Processing Systems Institute îf 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
Citation:
V. V. Sergeev, R. R. Yuzkiv, “A parametric model for the autocorrelation function of space hyperspectral data”, Computer Optics, 40:3 (2016), 416–421
Linking options:
https://www.mathnet.ru/eng/co159 https://www.mathnet.ru/eng/co/v40/i3/p416
|
Statistics & downloads: |
Abstract page: | 215 | Full-text PDF : | 107 | References: | 26 |
|