Reconstruction of satellite images based on fractal filters

Valeriy H. Bagmanov; Svyatoslav V. Kharitonov; Ivan K. Meshkov; Albert H. Sultanov

doi:10.1117/12.829033

3 April 2009 Reconstruction of satellite images based on fractal filters

Valeriy H. Bagmanov, Svyatoslav V. Kharitonov, Ivan K. Meshkov, Albert H. Sultanov

Proceedings Volume 7374, Optical Technologies for Telecommunications 2008; 73740F (2009) https://doi.org/10.1117/12.829033
Event: Optical Technologies for Telecommunications 2008, 2008, Kazan, Russian Federation

Abstract

Receiving of remote sensed data's signals in urban space information reception centers is usually difficult, because of complex electromagnetic situation in cities and insufficient EMC. Traditional methods for digital reconstruction of images use smoothing and autoregressive forecasting. In this case anomalous spikes on the image are lost. Alternative method based on Kolmogorov-Wiener's filters and fractal properties of satellite images is proposed in this article. Offered method allows to predict pixel values of satellite images with normalized RMS error of the order of 20-30%.

Citation Download Citation

Valeriy H. Bagmanov, Svyatoslav V. Kharitonov, Ivan K. Meshkov, and Albert H. Sultanov "Reconstruction of satellite images based on fractal filters", Proc. SPIE 7374, Optical Technologies for Telecommunications 2008, 73740F (3 April 2009); https://doi.org/10.1117/12.829033

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