Regional Gravity Field Modeling by Radially Optimized Point Masses: Case Studies with Synthetic Data

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OriginalspracheEnglisch
Titel des SammelwerksIAG 150 Years - Proceedings of the 2013 IAG Scientific Assembly
Herausgeber/-innenChris Rizos, Pascal Willis
Herausgeber (Verlag)Springer Verlag
Seiten233-239
Seitenumfang7
ISBN (Print)9783319246031
PublikationsstatusVeröffentlicht - 2016
Veranstaltung150th Anniversary with a Scientific Assembly, IAG 2013 - Potsdam, Deutschland
Dauer: 2 Sept. 20136 Sept. 2013

Publikationsreihe

NameInternational Association of Geodesy Symposia
ISSN (Print)0939-9585

Abstract

A two-step point mass method with free depths is presented for regional gravity field modeling based on the remove-compute-restore technique. Three numerical test cases were studied using synthetic data with different noise levels. The point masses are searched one by one in the first step with a simultaneous determination of the depth and magnitude by the Quasi-Newton algorithm L-BFGS-B. In the second step, the magnitudes of all searched point masses are readjusted with known positions by solving a linear system in the least-squares sense. Tikhonov regularization with an identity regularization matrix is employed if ill-posedness exists. One empirical and two heuristic methods for choosing proper regularization parameters are compared. In addition, the solutions computed from standard and regularized least-squares collocation are presented as references.

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Regional Gravity Field Modeling by Radially Optimized Point Masses: Case Studies with Synthetic Data. / Lin, Miao; Denker, Heiner; Müller, Jürgen.
IAG 150 Years - Proceedings of the 2013 IAG Scientific Assembly. Hrsg. / Chris Rizos; Pascal Willis. Springer Verlag, 2016. S. 233-239 (International Association of Geodesy Symposia).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Lin, M, Denker, H & Müller, J 2016, Regional Gravity Field Modeling by Radially Optimized Point Masses: Case Studies with Synthetic Data. in C Rizos & P Willis (Hrsg.), IAG 150 Years - Proceedings of the 2013 IAG Scientific Assembly. International Association of Geodesy Symposia, Springer Verlag, S. 233-239, 150th Anniversary with a Scientific Assembly, IAG 2013, Potsdam, Deutschland, 2 Sept. 2013. https://doi.org/10.1007/1345_2015_92
Lin, M., Denker, H., & Müller, J. (2016). Regional Gravity Field Modeling by Radially Optimized Point Masses: Case Studies with Synthetic Data. In C. Rizos, & P. Willis (Hrsg.), IAG 150 Years - Proceedings of the 2013 IAG Scientific Assembly (S. 233-239). (International Association of Geodesy Symposia). Springer Verlag. https://doi.org/10.1007/1345_2015_92
Lin M, Denker H, Müller J. Regional Gravity Field Modeling by Radially Optimized Point Masses: Case Studies with Synthetic Data. in Rizos C, Willis P, Hrsg., IAG 150 Years - Proceedings of the 2013 IAG Scientific Assembly. Springer Verlag. 2016. S. 233-239. (International Association of Geodesy Symposia). Epub 2015 Mai 12. doi: 10.1007/1345_2015_92
Lin, Miao ; Denker, Heiner ; Müller, Jürgen. / Regional Gravity Field Modeling by Radially Optimized Point Masses : Case Studies with Synthetic Data. IAG 150 Years - Proceedings of the 2013 IAG Scientific Assembly. Hrsg. / Chris Rizos ; Pascal Willis. Springer Verlag, 2016. S. 233-239 (International Association of Geodesy Symposia).
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abstract = "A two-step point mass method with free depths is presented for regional gravity field modeling based on the remove-compute-restore technique. Three numerical test cases were studied using synthetic data with different noise levels. The point masses are searched one by one in the first step with a simultaneous determination of the depth and magnitude by the Quasi-Newton algorithm L-BFGS-B. In the second step, the magnitudes of all searched point masses are readjusted with known positions by solving a linear system in the least-squares sense. Tikhonov regularization with an identity regularization matrix is employed if ill-posedness exists. One empirical and two heuristic methods for choosing proper regularization parameters are compared. In addition, the solutions computed from standard and regularized least-squares collocation are presented as references.",
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T2 - 150th Anniversary with a Scientific Assembly, IAG 2013

AU - Lin, Miao

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AU - Müller, Jürgen

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AB - A two-step point mass method with free depths is presented for regional gravity field modeling based on the remove-compute-restore technique. Three numerical test cases were studied using synthetic data with different noise levels. The point masses are searched one by one in the first step with a simultaneous determination of the depth and magnitude by the Quasi-Newton algorithm L-BFGS-B. In the second step, the magnitudes of all searched point masses are readjusted with known positions by solving a linear system in the least-squares sense. Tikhonov regularization with an identity regularization matrix is employed if ill-posedness exists. One empirical and two heuristic methods for choosing proper regularization parameters are compared. In addition, the solutions computed from standard and regularized least-squares collocation are presented as references.

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KW - Least-squares collocation

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