Methods estimate multiplicative and additive noise in AEM data from repeat lines with non-linear altitude correction, Gaussianise the noise, estimate time-channel correlations in the covariance matrix, and conclude that a diagonal covariance suffices for regularised time-domain AEM imaging.
As expected, the empirical CDF ofx∼ N(0,( 1 3)2), matches CDF N(0,1) (3x), as demonstrated in Figure
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Estimating noise for airborne electromagnetic data from repeat flight lines or inversion residuals
Methods estimate multiplicative and additive noise in AEM data from repeat lines with non-linear altitude correction, Gaussianise the noise, estimate time-channel correlations in the covariance matrix, and conclude that a diagonal covariance suffices for regularised time-domain AEM imaging.