Abstract
Tomographic data are likely to be contaminated with correlated errors. We use an approach based on data error covariance specification in order to analyse the effect of such errors. This approach is valid for arbitrary irregular measurement geometries and therefore offers great flexibility.
We have shown that the estimates in (1) and (2) behave differently in the presence of correlated errors. Taking the correct error correlations into account we obtain a more realistic description of error propagation, and we produce better model resolution with less smearing.
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© 1996 Springer-Verlag
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Nielsen, L., Jacobsen, B.H. (1996). Resolution and error propagation analysis for tomographic data with correlated errors. In: Jacobsen, B.H., Mosegaard, K., Sibani, P. (eds) Inverse Methods. Lecture Notes in Earth Sciences, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0011770
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DOI: https://doi.org/10.1007/BFb0011770
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