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Proceedings Paper

Reconstruction of satellite images based on fractal filters
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Paper 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%.

Paper Details

Date Published: 3 April 2009
PDF: 7 pages
Proc. SPIE 7374, Optical Technologies for Telecommunications 2008, 73740F (3 April 2009); doi: 10.1117/12.829033
Show Author Affiliations
Valeriy H. Bagmanov, Ufa State Aviation Technical Univ. (Russian Federation)
Svyatoslav V. Kharitonov, Ufa State Aviation Technical Univ. (Russian Federation)
Ivan K. Meshkov, Ufa State Aviation Technical Univ. (Russian Federation)
Albert H. Sultanov, Ufa State Aviation Technical Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 7374:
Optical Technologies for Telecommunications 2008
Vladimir A. Andreev; Vladimir A. Burdin; Oleg G. Morozov; Albert H. Sultanov, Editor(s)

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