Probing through cloudiness: Theory of statistical inversion for multiply scattered data

Benjamin White*, Ping Sheng, Marie Postel, George Papanicolaou

*Corresponding author for this work

Research output: Contribution to journalJournal Articlepeer-review

12 Citations (Scopus)

Abstract

Wave multiple scattering is responsible for making a random medium cloudy in appearance and opaque in the sense of structure delineation. For a randomly layered medium such as the earths subsurface, however, knowledge about the generic behavior of multiple scattering enables us to construct a theory of statistical inversion which can recover from a single data set the slowly varying mean character of a medium with signal amplitude only 10-3 that of the multiple-scattering noise. Inversion accuracy improves systematically with the availability of statistically redundant data.

Original languageEnglish
Pages (from-to)2228-2231
Number of pages4
JournalPhysical Review Letters
Volume63
Issue number20
DOIs
Publication statusPublished - 1989
Externally publishedYes

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