Miller, M.A. and Kingsbury, N.G. and Hobbs, R.W. (2005) 'Seismic image reconstruction using complex wavelets.', in Computational imaging III. Bellingham, WA: SPIE, pp. 27-35. Proceedings of SPIE. (5674).
The aim of seismic imaging is to reconstruct subsurface reflectivity from scattered acoustic data. In standard reconstruction techniques, the reflectivity model parameters are usually defined as a grid of point scatterers over the area or volume of the subsurface to be imaged. We propose an approach to subsurface imaging using the Dual Tree Complex Wavelet Transform (DT-CWT) as a basis for the reflectivity. This basis is used in conjunction with an iterative optimization which frames the problem as a linearized inverse scattering problem. We demonstrate the method on synthetic data and a marine seismic data set acquired over the Gippsland Basin near Australia. The technique is shown to reduce noise and processing artifacts while preserving discontinuities. It is likely to be particularly useful in cases where the acquired date is incomplete.
|Item Type:||Book chapter|
|Additional Information:||SPIE conference on Computational Imaging III, 17 January 2005, San Jose, CA.|
|Full text:||(VoR) Version of Record|
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|Publisher Web site:||http://dx.doi.org/10.1117/12.586322|
|Publisher statement:||Copyright 2005 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.|
|Record Created:||09 Jan 2009|
|Last Modified:||08 Jun 2012 15:17|
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