Application of a doubly stochastic autoregressive model for solving problems in satellite images processing
- 1 к.т.н., доцент, кафедра «Телекоммуникации», Ульяновский государственный технический университет
Keywords:
autoregressionrandom fieldssatellite imagesrandom processesnonlinear filteringKalman filterdoubly stochastic modelparameter estimation
Abstract
The problem of filtering satellite non-uniform images using the recurrent nonlinear filters obtained on the basis of a doubly stochastic autoregressive model is considered. The analysis of the obtained filtering algorithms is performed. A significant advantage of the proposed procedures is shown in comparison with the Kalman and Wiener filters.
How to cite
Дементьев В.Е. Применение дважды стохастических авторегрессионных моделей для обработки спутниковых изображений // Радиотехника. 2017. № 6. С. 18–22.
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