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Proceedings Paper

Use of time-scale representations for the analysis of seismic signals
Author(s): Antoine Roueff; Jocelyn Chanussot; Jerome Mars
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Paper Abstract

The presented study, based on the continuous wavelet transform and time-frequency representations, introduce new algorithms which perform different kinds of separation processing depending on the nature of the seismic data. When dealing with a one dimensional recorded signal (one sensor), we propose a segmentation of its time-scale representation. This leads to the automatic detection and separation of the different waves. This algorithm can be applied to a whole seismic profile containing several sensors, by tracking the segmentation features in the time-scale image sequence. The resulting separation algorithm is efficient as long as the patterns of the different waves do not overlap in the time-scale plane. Afterwards, the purpose is to take into account the redundancy of information in more dimensional data to increase the separation possibilities in presence of interference. In the case of vectorial sensors, we use the polarization information to separate the different waves using phase shifts, rotations, and amplifications. At last, in the case of linear array data, we use the propagation velocity information to separate dispersive waves with overlapping patterns. For this purpose, we propose a new time-scale representation which enable the estimation of the wave dispersion function from a small array of sensors.

Paper Details

Date Published: 27 February 2004
PDF: 12 pages
Proc. SPIE 5266, Wavelet Applications in Industrial Processing, (27 February 2004); doi: 10.1117/12.515762
Show Author Affiliations
Antoine Roueff, Institut National Polytechnique de Grenoble (France)
Jocelyn Chanussot, Institut National Polytechnique de Grenoble (France)
Jerome Mars, Institut National Polytechnique de Grenoble (France)

Published in SPIE Proceedings Vol. 5266:
Wavelet Applications in Industrial Processing
Frederic Truchetet, Editor(s)

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