Harmonic Spline-Wavelets on the 3-dimensional Ball and their Application to the Reconstruction of the Earth´s Density Distribution from Gravitational Data at Arbitrarily Shaped Satellite Orbits

  • We introduce splines for the approximation of harmonic functions on a 3-dimensional ball. Those splines are combined with a multiresolution concept. More precisely, at each step of improving the approximation we add more data and, at the same time, reduce the hat-width of the used spline basis functions. Finally, a convergence theorem is proved. One possible application, that is discussed in detail, is the reconstruction of the Earth´s density distribution from gravitational data obtained at a satellite orbit. This is an exponentially ill-posed problem where only the harmonic part of the density can be recovered since its orthogonal complement has the potential 0. Whereas classical approaches use a truncated singular value decomposition (TSVD) with the well-known disadvantages like the non-localizing character of the used spherical harmonics and the bandlimitedness of the solution, modern regularization techniques use wavelets allowing a localized reconstruction via convolutions with kernels that are only essentially large in the region of interest. The essential remaining drawback of a TSVD and the wavelet approaches is that the integrals (i.e. the inner product in case of a TSVD and the convolution in case of wavelets) are calculated on a spherical orbit, which is not given in reality. Thus, simplifying modelling assumptions, that certainly include a modelling error, have to be made. The splines introduced here have the important advantage, that the given data need not be located on a sphere but may be (almost) arbitrarily distributed in the outer space of the Earth. This includes, in particular, the possibility to mix data from different satellite missions (different orbits, different derivatives of the gravitational potential) in the calculation of the Earth´s density distribution. Moreover, the approximating splines can be calculated at varying resolution scales, where the differences for increasing the resolution can be computed with the introduced spline-wavelet technique.

Export metadata

  • Export Bibtex
  • Export RIS

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Martin J. Fengler, Dominik Michel, Volker Michel
URN (permanent link):urn:nbn:de:hbz:386-kluedo-13714
Serie (Series number):Schriften zur Funktionalanalysis und Geomathematik (16)
Document Type:Preprint
Language of publication:English
Year of Completion:2005
Year of Publication:2005
Publishing Institute:Technische Universität Kaiserslautern
Tag:GOCE <Satellitenmission>; GRACE <Satellitenmission> ; Kugel ; Spline-Wavelets ; reguläre Fläche
GOCE <satellite mission>; GRACE <satellite mission> ; ball ; regular surface ; spline-wavelets
GND-Keyword:CHAMP <Satellitenmission>; Harmonische Spline-Funktion ; Inverses Problem ; Kugelfunktion ; Mehrskalenanalyse ; Regularisierung ; Sobolev-Raum
Faculties / Organisational entities:Fachbereich Mathematik
DDC-Cassification:510 Mathematik
MSC-Classification (mathematics):41A15 Spline approximation
42C40 Wavelets and other special systems
45K05 Integro-partial differential equations [See also 34K30, 35R09, 35R10, 47G20]
86A22 Inverse problems [See also 35R30]

$Rev: 12793 $