Services on Demand
Journal
Article
Indicators
- Cited by SciELO
- Access statistics
Related links
- Cited by Google
- Similars in SciELO
- Similars in Google
Share
Ingeniería e Investigación
Print version ISSN 0120-5609
Abstract
BAKKALI, Saad and BAHI, Lahcen. Automatic spline-smoothing approach applied to denoise Moroccan resistivity data phosphate deposit disturbances map. Ing. Investig. [online]. 2008, vol.28, n.1, pp.133-136. ISSN 0120-5609.
This paper focuses on presenting a method which is able to filter out noise and suppress outliers of sampled real functions under fairly general conditions. The automatic optimal spline-smoothing approach automatically determines how a cubic spline should be adjusted in a least-squares optimal sense from an a priori selection of the number of points defining an adjusting spline, but not their location on that curve. The method is fast and easily allowed for selecting several knots, thereby adding desirable flexibility to the procedure. As an illustration, we apply the AOSSA method to Moroccan resistivity data phosphate deposit disturbances map. The AOSSA smoothing method is an efficient tool in interpreting geophysical potential field data which is particularly suitable in denoising, filtering and analysing resistivity data singularities. The AOSSA smoothing and filtering approach was found to be consistently useful when applied to modeling surface phosphate disturbances..
Keywords : smoothing; automatic; spline; resistivity; Schlumberger; phosphate; Morocco.