2011
DOI: 10.1515/jiip.2011.009
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Algorithm of finding a body projection within an absorbing and scattering medium

Abstract: The problem of an arbitrary medium probing by use of radiation flux on the bases of the monoenergetic transport equation is considered. The medium is assumed to comprise some bodies, which radiation characteristics differ from ones of the medium. The outgoing radiation density flux is assumed to be measured at a plane nonintersecting the bodies whereas the boundaries of the body projections (shadows) on the plane are to be found. The case when the direct imaging of the objects is embarrassing owing to a strong… Show more

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Cited by 4 publications
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“…Let G and G 1 be convex bounded domains in ‫ޒ‬ and C(T, ω) be a cylinder in ‫ޒ‬ 3 with the base T and the axis ω, i.e., the union of points lying on all straight lines L(τ, ω), τ ∈ T. A mathematical model of a probing signal is the following integrodifferential radiation transfer equation for points (r, ω) ∈ G × Ω: (1) Recall that f(r, ω) is the particle flux density at the point r in the direction ω, μ(r) is the extinction coef ficient, k(r, ωω') is the scattering phase function, and J(r, ω) is the density of internal sources. Assume that the functions μ(r), k(r, ωω'), and J(r, ω) have continuous and bounded first partial derivatives with respect to all their variables for r ∈ G i , i = 1, 2, ω ∈ Ω, and ω' ∈ Ω.…”
Section: Basic Notation and The Formulation Of The Problemmentioning
confidence: 99%
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“…Let G and G 1 be convex bounded domains in ‫ޒ‬ and C(T, ω) be a cylinder in ‫ޒ‬ 3 with the base T and the axis ω, i.e., the union of points lying on all straight lines L(τ, ω), τ ∈ T. A mathematical model of a probing signal is the following integrodifferential radiation transfer equation for points (r, ω) ∈ G × Ω: (1) Recall that f(r, ω) is the particle flux density at the point r in the direction ω, μ(r) is the extinction coef ficient, k(r, ωω') is the scattering phase function, and J(r, ω) is the density of internal sources. Assume that the functions μ(r), k(r, ωω'), and J(r, ω) have continuous and bounded first partial derivatives with respect to all their variables for r ∈ G i , i = 1, 2, ω ∈ Ω, and ω' ∈ Ω.…”
Section: Basic Notation and The Formulation Of The Problemmentioning
confidence: 99%
“…In the problem under study, we use a tested indicator of inhomogeneity (see [1]). Denote by ∇ P f(x, ω P ) and ∇ Q f(y, ω Q ) the two dimensional gradients with respect to r of the traces of f(r, ω) at r = x, x ∈ P 1 , ω = ω P and at r = y, y ∈ Q 1 , ω = ω Q .…”
Section: General Description Of the Algorithmmentioning
confidence: 99%
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