Edit (2015/12/25): the special issue is out (Geophysics, Nov.-Dec. 2015), the editorial is here.
The journal (from SEG: Society of Exploration Geophysicists) Geophysics (SCImago journal ranking) has issued a call for papers for a special issue devoted to signal processing ("Taking signal and noise to new dimensions"), deadline end January 2015.
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| Original seismic stack |
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| Large Gaussian noise corruption |
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| Denoised with dual-tree wavelets |
Taking signal and noise to new dimensions
Editors: Laurent Duval (IFP Energies nouvelles), Sergey Fomel (University of Texas, Austin), Mostafa Naghizadeh (Shell Canada), Mauricio Sacchi (University of Alberta)
Scope:
The inherent
complexity of seismic data has sparked, since about half a century, the
development of innovative techniques to separate signal and noise. Localized
time-scale representations (e. g. wavelets), parsimonious deconvolution,
sparsity-promoted restoration and reconstruction are now at the core of modern
signal processing and image analysis algorithms. Together with advances from
computer science and machine learning, they shaped the field of data science,
aiming at retrieving the inside structure of feature-rich, complex and
high-dimensional datasets. This special issue is devoted to novel methodologies
and strategies capable of tackling the large data volumes necessary to harness
the future of subsurface exploration. A common trait resides in the possibility
to seize at the same time both signal and noise properties along lower
dimensional spaces, with dedicated metrics, to allow their joint use for
seismic information enhancement. The traditional frontier between signal and
noise is dimming, as incoherent seismic perturbations and formerly detrimental
coherent wavefields, such as multiple reflections, are nowadays recognized as
additional information for seismic processing, imaging and interpretation. We
welcome contribution pertaining (but not limited) to:
- emerging seismic data acquisition and management technologies
- more compact, sparser and optimized multidimensional seismic data representations
- filtering, noise attenuation, signal enhancement and source separation
- advanced optimization methods and related metrics, regularizations and penalizations
- artificial intelligence and machine learning applications for seismic data characterization
- novel applications of signal and image processing to geophysics
- hardware and software algorithmic breakthroughs
Timeline (tentative) for the Geophysics call of papers
- Submission deadline: 31 Jan 2015
- Peer review complete: 10 July 2015
- All files submitted for production: 15 August 2015
- Publication of issue: November-December 2015
This session could be seen as a follow-up to the 2014 International conference on Acoustics, Speech and Signal Processing (ICASSP 2014) special session on geophysics.
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| Gravity survey @ LandTech |
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