Regional Gravity Field Modeling by Radially Optimized Point Masses
Case Studies with Synthetic Data
- verfasst von
- Miao Lin, Heiner Denker, Jürgen Müller
- 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.
- Organisationseinheit(en)
-
Institut für Erdmessung
- Typ
- Aufsatz in Konferenzband
- Seiten
- 233-239
- Anzahl der Seiten
- 7
- Publikationsdatum
- 2016
- Publikationsstatus
- Veröffentlicht
- Peer-reviewed
- Ja
- ASJC Scopus Sachgebiete
- Computer in den Geowissenschaften, Geophysik
- Elektronische Version(en)
-
https://doi.org/10.1007/1345_2015_92 (Zugang:
Geschlossen)
