Comparison and generalization of correlation-based seismic-source imaging methods

Author(s):  
Lei Li ◽  
Ivan Abakumov ◽  
Hao Chen ◽  
Xiuming Wang ◽  
Dirk Gajewski
2017 ◽  
Vol 62 (3) ◽  
pp. 734-757 ◽  
Author(s):  
Ming-Xiong Huang ◽  
Bill Anderson ◽  
Charles W Huang ◽  
Gerd J Kunde ◽  
Erika C Vreeland ◽  
...  

Geophysics ◽  
2011 ◽  
Vol 76 (5) ◽  
pp. T101-T112 ◽  
Author(s):  
François Bretaudeau ◽  
Donatienne Leparoux ◽  
Olivier Durand ◽  
Odile Abraham

The seismic imaging methods currently in the development stage need to be tested for experimental validation under controlled conditions. Yet natural media are very complex, and moreover, the parameters along the measurement profile prove difficult to evaluate independently of the seismic method itself. To satisfy this need, the ultrasonic measurement laboratory (MUSC) presented in this research has been devised to experimentally model seismic field measurements by using reduced-scale models. This facility is composed of small-scale models of the underground, an optical table with two moving arms, a laser interferometer, and adapted piezoelectric transducers used as the seismic sources. The source system has been adapted to simulate the behavior of a point-surface seismic source. This is essential to reproduce the spatial energy distribution of a surface seismic source and supersedes the sources used in the past for other reduced-scale seismic experimental models. The comparisons of experimental data collected with MUSC and numerical data simulated by means of finite-element viscoelastic modeling indicate very good agreement of time arrivals and amplitudes for a range of propagation distances until the amplitude has decreased to the system noise level. These results demonstrate that the MUSC laboratory is a system with plenty of promise for validating seismic imaging methods through testing on a perfectly known propagation model prior to field application.


2009 ◽  
Vol 2009 ◽  
pp. 1-12 ◽  
Author(s):  
Katrina Wendel ◽  
Outi Väisänen ◽  
Jaakko Malmivuo ◽  
Nevzat G. Gencer ◽  
Bart Vanrumste ◽  
...  

We present the four key areas of research—preprocessing, the volume conductor, the forward problem, and the inverse problem—that affect the performance of EEG and MEG source imaging. In each key area we identify prominent approaches and methodologies that have open issues warranting further investigation within the community, challenges associated with certain techniques, and algorithms necessitating clarification of their implications. More than providing definitive answers we aim to identify important open issues in the quest of source localization.


2017 ◽  
Vol 65 (2) ◽  
pp. 299-308 ◽  
Author(s):  
Anna Franczyk ◽  
Andrzej Leśniak ◽  
Damian Gwiżdż

2009 ◽  
Vol 42 (18) ◽  
pp. 49
Author(s):  
JEFF EVANS
Keyword(s):  

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