2001
DOI: 10.1109/36.964991
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Subsurface inverse scattering problems: quantifying, qualifying, and achieving the available information

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Cited by 85 publications
(61 citation statements)
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“…wavelet transform in order to expand the contrast function characterizing scatterers with respect to the surrounding medium and advance inversion reliability [19], [20].…”
Section: Discussionmentioning
confidence: 99%
“…wavelet transform in order to expand the contrast function characterizing scatterers with respect to the surrounding medium and advance inversion reliability [19], [20].…”
Section: Discussionmentioning
confidence: 99%
“…An interesting feature of inverse scattering problems from buried targets is the decrease of the achievable spatial resolution for increasing depth, according to which the faster spatial variation of the unknown contrast can be retrieved only for shallow targets [12]. Although such an observation has been derived for the traditional formulation, it can be applied to the CS-EB formulation as well, again owing to its analogy with the CS model.…”
Section: Exploiting the Cs-eb Model As A Backbone For Inversion Appromentioning
confidence: 99%
“…Hence, approximate solutions, such as the Extended Born (EB) approximation [4] and its heuristic extensions [5] or algebraic preconditioners [6,7] are worth studying as means to improve the convergence rate. The inverse scattering problem is non-linear and ill-posed [8] and it is usually cast as the global optimization of a suitable cost functional [9][10][11][12][13][14][15].…”
Section: Introductionmentioning
confidence: 99%
“…In several cases, the inversion strategies have to retrieve a large amount of parameters starting from a limited number of independent measures, fully collectable through multi-illumination/multi-view measurement systems [14] [15]. However, the data are usually corrupted by several kind of errors and because of the ill-posedness and the false solution problems, other types of diversity are usually looked for.…”
Section: Introductionmentioning
confidence: 99%