Book contents
- Frontmatter
- Contents
- 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
- 13 Appendix: Basic facts from analysis and probability
- References
- Index
1 - Introduction and overview of the book
Published online by Cambridge University Press: 05 April 2016
- Frontmatter
- Contents
- 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
- 13 Appendix: Basic facts from analysis and probability
- References
- Index
Summary
This book addresses wave-based imaging: that is, imaging of unknown media from recorded wave signals that have propagated through them. The typical problems that we consider are velocity estimation and reflector imaging. In the first case, we recover approximately, that is, we image the background propagation velocity of the medium from estimated travel times between sensors. In the second case, we detect and localize, that is, we image anomalies present in the medium from recorded sensor data. Although established methods to address these imaging problems are presented, the focus is on correlation-based or interferometric imaging techniques using illumination signals generated by uncontrolled ambient noise sources. These techniques have attracted a lot of attention recently because they open new possibilities for imaging, in seismology, in synthetic aperture radar and elsewhere, where illuminating sources are rare and often uncontrolled and the recording sensors are passive. Their analysis involves mathematical methods and results that we introduce here in a systematic way. In the first part of the book (Chapters 2–6) we address correlation-based imaging for homogeneous and smoothly varying media. In the second part of the book (Chapters 7–8) we consider scattering media. In the last chapters (Chapters 9–11) we use the mathematical tools presented and developed in this book to revisit and analyze recent imaging modalities that use correlation-based techniques.
- Type
- Chapter
- Information
- Passive Imaging with Ambient Noise , pp. 1 - 16Publisher: Cambridge University PressPrint publication year: 2016