Passive Imaging with Ambient Noise (Cambridge Monographs on Applied and Computational Mathematic)
Cambridge University Press, 4/21/2016
EAN 9781107135635, ISBN10: 110713563X
Hardcover, 288 pages, 25.2 x 17.9 x 1.7 cm
Language: English
Waves generated by opportunistic or ambient noise sources and recorded by passive sensor arrays can be used to image the medium through which they travel. Spectacular results have been obtained in seismic interferometry, which open up new perspectives in acoustics, electromagnetics, and optics. The authors present, for the first time in book form, a self-contained and unified account of correlation-based and ambient noise imaging. In order to facilitate understanding of the core material, they also address a number of related topics in conventional sensor array imaging, wave propagation in random media, and high-frequency asymptotics for wave propagation. Taking a multidisciplinary approach, the book uses mathematical tools from probability, partial differential equations and asymptotic analysis, combined with the physics of wave propagation and modelling of imaging modalities. Suitable for applied mathematicians and geophysicists, it is also accessible to graduate students in applied mathematics, physics, and engineering.
Preface
1. Introduction and overview of the book
2. Green's function estimation from noise cross correlations
3. Travel time estimation from noise cross correlations using stationary phase
4. Overview of conventional sensor array imaging
5. Passive array imaging of reflectors using ambient noise illumination
6. Resolution analysis for passive array imaging using ambient noise illumination
7. Travel time estimation using ambient noise in weakly scattering media
8. Correlation-based reflector imaging using ambient noise in weakly scattering media
9. Virtual source imaging in homogeneous media
10. Virtual source imaging in scattering media
11. Imaging with intensity cross correlations
12. A review of wave propagation in random media
Appendix. Basic facts from analysis and probability
References
Index.