2016
DOI: 10.3103/s0027134916030103
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Modeling the problem of low-orbital satellite UV-tomography of the ionosphere

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Cited by 1 publication
(2 citation statements)
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“…The resulting SLE is solved using iterative algebraic reconstruction technique (ART), which converges to normal solution relative to initial guess, which is set to zero. To ensure that ART iterations converge smoothly to a physically reasonable solution, the regularization in the form of Laplacian constraints is used between iterations, see [12] for details.…”
Section: Uv Volume Emission Rate Tomography Problem Modellingmentioning
confidence: 99%
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“…The resulting SLE is solved using iterative algebraic reconstruction technique (ART), which converges to normal solution relative to initial guess, which is set to zero. To ensure that ART iterations converge smoothly to a physically reasonable solution, the regularization in the form of Laplacian constraints is used between iterations, see [12] for details.…”
Section: Uv Volume Emission Rate Tomography Problem Modellingmentioning
confidence: 99%
“…In the last two decades, tomographic approach has been actively applied to reconstruct 2D and 3D distributions of electron density or volume emission rate in ionospheric F-region according to satellite UV spectrometry data [8][9][10][11][12]. Moreover, unlike ionospheric radiotomography (see for example [13]), where the observation operator depends only on the geometry of the problem and the basis expansion of the unknown parameter (electron density), in the case of UV tomography this operator also depends on the extinction in the medium [11], which must be determined independently.…”
Section: Introductionmentioning
confidence: 99%