Aeromagnetic data leveling by the implementation of orthogonal polynomials

In the present work an improvement is made to the line-to-line correlations technique for the removal of errors of leveling of geophysical data obtained by aerial survey. This technique, under the assumption of continuity and strong correlation of the adjacent flight line profile registers, achieves...

Full description

Bibliographic Details
Main Authors: Zambrano, O.M., Gulisano, A.M.
Format: Journal/Newspaper
Language:unknown
Subjects:
Online Access:https://hdl.handle.net/20.500.12110/paper_03267237_v42_n2_p64_Zambrano
id ftunibueairesbd:todo:paper_03267237_v42_n2_p64_Zambrano
record_format openpolar
spelling ftunibueairesbd:todo:paper_03267237_v42_n2_p64_Zambrano 2023-10-29T02:32:23+01:00 Aeromagnetic data leveling by the implementation of orthogonal polynomials Zambrano, O.M. Gulisano, A.M. https://hdl.handle.net/20.500.12110/paper_03267237_v42_n2_p64_Zambrano unknown http://hdl.handle.net/20.500.12110/paper_03267237_v42_n2_p64_Zambrano info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar Aeromagnetic leveling Line-to-line correlations Orthogonal polynomials JOUR ftunibueairesbd https://doi.org/20.500.12110/paper_03267237_v42_n2_p64_Zambrano 2023-10-05T02:02:36Z In the present work an improvement is made to the line-to-line correlations technique for the removal of errors of leveling of geophysical data obtained by aerial survey. This technique, under the assumption of continuity and strong correlation of the adjacent flight line profile registers, achieves leveling by constructing a functional estimator through a moving window in one dimension. This estimator is applied line by line recursively reducing the leveling errors and adjusted them in the sense of the minimum squares. Our improvement consists in the implementation of n-functional estimators, based on orthogonal polynomial successions of Chebyshev and Legendre. The procedure used consisted in the generation of synthetic data to which ad-hoc leveling errors of different typical characteristics were introduced to simulate the ones found in a real aeroprospection. We then apply the technique with this improved method as if it were real data and compared with the synthetic data without leveling error. We have determined the size range of the estimators, in which the Chebyshev and Legendre bases significantly remove the leveling errors regarding the implementation using the canonical form, with a percentage relative error of less than 5%.Finally, we apply the improved technique to a real aeromagnetic record acquired on the volcanic sector of the James Ross Basin in the Weddell Sea, in the northeastern end of the Antarctic Peninsula, obtaining a very good result in the removal of the leveling errors of the survey. © 2018 Asociación Argentina de Geofísicos y Geodestas. Journal/Newspaper Antarc* Antarctic Antarctic Peninsula Weddell Sea Biblioteca Digital FCEN-UBA (Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires)
institution Open Polar
collection Biblioteca Digital FCEN-UBA (Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires)
op_collection_id ftunibueairesbd
language unknown
topic Aeromagnetic leveling
Line-to-line correlations
Orthogonal polynomials
spellingShingle Aeromagnetic leveling
Line-to-line correlations
Orthogonal polynomials
Zambrano, O.M.
Gulisano, A.M.
Aeromagnetic data leveling by the implementation of orthogonal polynomials
topic_facet Aeromagnetic leveling
Line-to-line correlations
Orthogonal polynomials
description In the present work an improvement is made to the line-to-line correlations technique for the removal of errors of leveling of geophysical data obtained by aerial survey. This technique, under the assumption of continuity and strong correlation of the adjacent flight line profile registers, achieves leveling by constructing a functional estimator through a moving window in one dimension. This estimator is applied line by line recursively reducing the leveling errors and adjusted them in the sense of the minimum squares. Our improvement consists in the implementation of n-functional estimators, based on orthogonal polynomial successions of Chebyshev and Legendre. The procedure used consisted in the generation of synthetic data to which ad-hoc leveling errors of different typical characteristics were introduced to simulate the ones found in a real aeroprospection. We then apply the technique with this improved method as if it were real data and compared with the synthetic data without leveling error. We have determined the size range of the estimators, in which the Chebyshev and Legendre bases significantly remove the leveling errors regarding the implementation using the canonical form, with a percentage relative error of less than 5%.Finally, we apply the improved technique to a real aeromagnetic record acquired on the volcanic sector of the James Ross Basin in the Weddell Sea, in the northeastern end of the Antarctic Peninsula, obtaining a very good result in the removal of the leveling errors of the survey. © 2018 Asociación Argentina de Geofísicos y Geodestas.
format Journal/Newspaper
author Zambrano, O.M.
Gulisano, A.M.
author_facet Zambrano, O.M.
Gulisano, A.M.
author_sort Zambrano, O.M.
title Aeromagnetic data leveling by the implementation of orthogonal polynomials
title_short Aeromagnetic data leveling by the implementation of orthogonal polynomials
title_full Aeromagnetic data leveling by the implementation of orthogonal polynomials
title_fullStr Aeromagnetic data leveling by the implementation of orthogonal polynomials
title_full_unstemmed Aeromagnetic data leveling by the implementation of orthogonal polynomials
title_sort aeromagnetic data leveling by the implementation of orthogonal polynomials
url https://hdl.handle.net/20.500.12110/paper_03267237_v42_n2_p64_Zambrano
genre Antarc*
Antarctic
Antarctic Peninsula
Weddell Sea
genre_facet Antarc*
Antarctic
Antarctic Peninsula
Weddell Sea
op_relation http://hdl.handle.net/20.500.12110/paper_03267237_v42_n2_p64_Zambrano
op_rights info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/2.5/ar
op_doi https://doi.org/20.500.12110/paper_03267237_v42_n2_p64_Zambrano
_version_ 1781053773332873216