Identification of sources of potential fields with the continuous wavelet transform: Basic theory
Author(s) -
Moreau Frédérique,
Gibert Dominique,
Holschneider Matthias,
Saracco Ginette
Publication year - 1999
Publication title -
journal of geophysical research: solid earth
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/1998jb900106
Subject(s) - wavelet , wavelet transform , potential field , operator (biology) , continuous wavelet transform , discrete wavelet transform , lifting scheme , computer science , invariant (physics) , second generation wavelet transform , stationary wavelet transform , geology , mathematical analysis , algorithm , mathematics , geophysics , artificial intelligence , biochemistry , chemistry , repressor , transcription factor , mathematical physics , gene
The continuous wavelet transform is used to analyze potential fields and to locate their causative sources. A particular class of wavelets is introduced which remains invariant under the action of the upward continuation operator in potential field theory. These wavelets make the corresponding wavelet transforms easy to analyze and the sources' parameters (horizontal location, depth, multipolar nature, and strength) simple to estimate. Practical issues (effects of noise, choice of the analyzing wavelet, etc.) are addressed. A field data example corresponding to a near‐surface magnetic survey is discussed. Applications to the high‐resolution aeromagnetic survey of French Guyana will be discussed in the next paper of the series.
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