Open AccessFeature removal and isolation in potential field data
Author(s) -
Boschetti F.,
Therond V.,
Hornby P.
Publication year - 2004
Publication title -
geophysical journal international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.302
H-Index - 168
eISSN - 1365-246X
pISSN - 0956-540X
DOI - 10.1111/j.1365-246x.2004.02293.x
Subject(s) - subtraction , signal processing , inversion (geology) , potential field , computer science , signal (programming language) , field (mathematics) , feature (linguistics) , algorithm , data processing , pattern recognition (psychology) , anomaly (physics) , artificial intelligence , geology , geophysics , mathematics , digital signal processing , seismology , physics , arithmetic , condensed matter physics , operating system , linguistics , philosophy , pure mathematics , computer hardware , tectonics , programming language
SUMMARY With the aim of designing signal processing tools that act locally in space upon specific features of a signal, we compare two algorithms to remove or isolate individual anomalies in potential field profiles. The first method, based on multiscale edge analysis, leaves other features in the signal relatively untouched. A second method, based on iterative lateral continuation and subtraction of anomalies, accounts for the influence of adjacent anomalies on one another. This allows a potential field profile to be transformed into a number of single anomaly signals. Each single anomaly can then be individually processed, which considerably simplifies applications such as inversion and signal processing.