350 rub
Journal Radioengineering №6 for 2017 г.
Article in number:
Application of a doubly stochastic autoregressive model for solving problems in satellite images processing
Type of article: scientific article
UDC: 621.391.2
Keywords: autoregression random fields satellite images random processes nonlinear filtering Kalman filter doubly stochastic model parameter estimation.
Authors:

В.Е. Дементьев – к.т.н., доцент, кафедра «Телекоммуникации», 

Ульяновский государственный технический университет E-mail: vitawed@mail.ru

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.

Pages: 18-22
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Date of receipt: 17 мая 2017 г.