Geophysical Field Modelling by Multiresolution Analysis

  • Wavelet transform originated in 1980's for the analysis of seismic signals has seen an explosion of applications in geophysics. However, almost all of the material is based on wavelets over Euclidean spaces. This paper deals with the generalization of the theory and algorithmic aspects of wavelets to a spherical earth's model and geophysically relevant vector fields such as the gravitational, magnetic, elastic field of the earth.A scale discrete wavelet approach is considered on the sphere thereby avoiding any type of tensor-valued 'basis (kernel) function'. The generators of the vector wavelets used for the fast evaluation are assumed to have compact supports. Thus the scale and detail spaces are finite-dimensional. As an important consequence, detail information of the vector field under consideration can be obtained only by a finite number of wavelet coefficients for each scale. Using integration formulas that are exact up to a prescribed polynomial degree, wavelet decomposition and reconstruction are investigated for bandlimited vector fields. A pyramid scheme for the recursive computation of the wavelet coefficients from level to level is described in detail. Finally, data compression is discussed for the EGM96 model of the earth's gravitational field.

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Metadaten
Author:Michael Bayer, Stefan Beth, Willi Freeden
URN (permanent link):urn:nbn:de:hbz:386-kluedo-5972
Serie (Series number):Berichte der Arbeitsgruppe Technomathematik (AGTM Report) (191)
Document Type:Preprint
Language of publication:English
Year of Completion:1998
Year of Publication:1998
Publishing Institute:Technische Universität Kaiserslautern
Tag:da; exact fully discrete vectorial wavelet transform ; pyramid scheme ; scale discrete spherical vector wavelets ; vectorial multiresolution analysis
Faculties / Organisational entities:Fachbereich Mathematik
DDC-Cassification:510 Mathematik
MSC-Classification (mathematics):41A58 Series expansions (e.g. Taylor, Lidstone series, but not Fourier series)
42C15 General harmonic expansions, frames
44A35 Convolution
65D15 Algorithms for functional approximation

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