TY - JOUR
T1 - Probing through cloudiness
T2 - Theory of statistical inversion for multiply scattered data
AU - White, Benjamin
AU - Sheng, Ping
AU - Postel, Marie
AU - Papanicolaou, George
PY - 1989
Y1 - 1989
N2 - 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.
AB - 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.
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:A1989AY99800018
UR - https://openalex.org/W2010117203
U2 - 10.1103/PhysRevLett.63.2228
DO - 10.1103/PhysRevLett.63.2228
M3 - Journal Article
SN - 0031-9007
VL - 63
SP - 2228
EP - 2231
JO - Physical Review Letters
JF - Physical Review Letters
IS - 20
ER -