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Proceedings Paper

Wavelet multiscale processing of remote sensing data
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Paper Abstract

There is comparative analysis of methods for estimation and definition of Hoerst index (index of self-similarity) and comparative analysis of wavelet types using for image decomposition are offered. Five types of compared wavelets are used for analysis: Haar wavelets, Daubechies wavelets, Discrete Meyer wavelets, symplets and coiflets. Best quality of restored image Meyer and Haar wavelets demonstrate, because of they are characterised by minimal errors of recomposition. But compression index for these types smaller, than for Daubechies wavelets, symplets and coiflets. Contrariwise the latter obtain less precision of decompression. As it is necessary to take into consideration the complexity of realization some wavelet transformation on digital signal processors (DSP), simplest method is Haar wavelet transformation.

Paper Details

Date Published: 3 April 2009
PDF: 8 pages
Proc. SPIE 7374, Optical Technologies for Telecommunications 2008, 73740G (3 April 2009); doi: 10.1117/12.829035
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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