1982
DOI: 10.1117/12.934065
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<title>Electromagnetic Reconstruction Techniques</title>

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1983
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“…The first, Euclidean distance δ, is simply a measure of the squared error between the resulting tomo gram and the actual test profile. It is defined by [12] (Xj X)) 1 (7) where η is the number of cells, Xj is the reconstructed estimate, and X) is the assigned test profile. Another, in a sense more qualitative, method of com parison is that of boundary definition by minimum variance partitioning [13].…”
Section: Computationsmentioning
confidence: 99%
See 1 more Smart Citation
“…The first, Euclidean distance δ, is simply a measure of the squared error between the resulting tomo gram and the actual test profile. It is defined by [12] (Xj X)) 1 (7) where η is the number of cells, Xj is the reconstructed estimate, and X) is the assigned test profile. Another, in a sense more qualitative, method of com parison is that of boundary definition by minimum variance partitioning [13].…”
Section: Computationsmentioning
confidence: 99%
“…The solution for the problem of incorporating diffraction for geophysical tomography may be an iterative refinement process similar to the one developed in this paper. It should be noted that Boerner et al have extended Devaney's scalar theory for the case of vector diffraction tomography [7].…”
Section: Introductionmentioning
confidence: 99%