Premium
Estimation of the average contrast of a buried object
Author(s) -
Budko Neil V.,
den Berg Peter M.
Publication year - 2000
Publication title -
radio science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 84
eISSN - 1944-799X
pISSN - 0048-6604
DOI - 10.1029/1999rs900066
Subject(s) - scattering , synthetic aperture radar , inversion (geology) , contrast (vision) , inverse scattering problem , inverse problem , metric (unit) , radar , object (grammar) , curse of dimensionality , nonlinear system , mathematics , homogeneous , algorithm , computer science , optics , physics , mathematical analysis , computer vision , artificial intelligence , geology , telecommunications , paleontology , operations management , structural basin , quantum mechanics , combinatorics , economics
The problem of estimation of the average contrast of a buried object is formulated as a nonlinear inverse scattering problem. An effective scattering model of reduced dimensionality is applied in order to make the inversion scheme numerically fast and well‐posed. It is shown that a good estimate of the object's average constitution is obtained if L 1 ‐type metric is employed and the two‐media background is replaced with the average homogeneous one. The effective scattering model is used in combination with Synthetic aperture radar (SAR) imaging, adding significant value to conventional SAR images.