Data covariance estimation for geoacoustic inversion

Auteurs-es

  • Stan E. Dosso School of Earth and Ocean Sciences, University of Victoria, Victoria, BC V8W 3P6, Canada

Mots-clés :

Correlation methods, Data reduction, Error analysis, Mathematical models, Parameter estimation, Uncertain systems, Acoustic pressure, Data covariance estimation, Geoacoustic inversion

Résumé

The estimation of data-error correlations to form a full covariance matrix that is explicitly incorporated into the inversion procedure, is presented. Matched-field geoacoustic inversion is based on estimating a model of seabed geoacoustic parameters by matching complex acoustic pressure fields. Neglecting significant error correlations represents the data as more informative than they actually are and leads to under-estimating parameter uncertainties. Incorporating full covariance matrices in the inversion leads to essentially uncorrelated standardized residuals.

Fichiers supplémentaires

Publié-e

2005-09-01

Comment citer

1.
Dosso SE. Data covariance estimation for geoacoustic inversion. Canadian Acoustics [Internet]. 1 sept. 2005 [cité 2 mai 2026];33(3):14-5. Disponible à: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1722

Numéro

Vol. 33 No. 3 (2005)

Rubrique

Actes du congrès de la Semaine canadienne d'acoustique

Licence

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