Generalized sampling interpolation of noisy gravity/gravity gradient data

Details Generalized sampling interpolation of noisy gravity/gravity gradient data Generalized sampling interpolation of noisy gravity/gravity gradient data

Aug 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009geoji.178..638w&link_type=abstract

Geophysical Journal International, Volume 178, Issue 2, pp. 638-650.

Astronomy and Astrophysics

Astronomy

1

Image Processing, Fourier Analysis, Gravity Anomalies And Earth Structure

Scientific paper

The generalized sampling expansion (GSE) has been shown as a method for successfully interpolating combined gravity and gravity gradient data sets when the data are undersampled. The presence of noise on data sets renders such interpolation more difficult and many applications (known as expansions) of the GSE can be shown to intolerably amplify noise. However, many key expansions can be shown to successfully interpolate noisy data and even, given limited gradient error and sufficiently narrow line-spacing, reduce noise. These results can be shown to hold for both random noise and along-line correlated (levelling error type) noise. Unfortunately, the only expansion capable of interpolating a data set sampled at 3× conventional line-spacing, the Three-rectangle expansion, has a poor noise response and always acts to amplify data error. The GSE method bares up well against other methods of gradient enhanced interpolation; in numerical tests several expansions for the gravity field produce less noisy output than any of the pseudo-line, gradient enhanced minimum curvature or gradient enhanced Akima spline methods. Despite edge effects and using only gradient data with no gravity component, the GSE applied to real undersampled survey data bares up well against conventional interpolation, reducing noise where the data are clearly undersampled.

Affiliated with

Also associated with

No associations

Rating

Generalized sampling interpolation of noisy gravity/gravity gradient data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Generalized sampling interpolation of noisy gravity/gravity gradient data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Generalized sampling interpolation of noisy gravity/gravity gradient data will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-832697