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How to deal with the high condition number of the noise covariance matrix of gravity field functionals synthesised from a satellite-only global gravity field model?

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第一作者： R,Klees

第一单位： Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands.

作者： R,Klees ^[1] ; D C,Slobbe ^[1] ; H H,Farahani ^[1]

作者单位： Delft University of Technology, Stevinweg 1, 2628 CN Delft, The Netherlands. ^[1]

关键词 Global gravity field model Least-squares Local quasi-geoid Noise covariance matrix Regularisation Spherical radial basis functions Unified theory of least-squares

DOI 10.1007/s00190-018-1136-0

PMID 30872904

发布时间 2020-10-01

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Journal of geodesy

2019年93卷1期

29-44页

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Journal of geodesy

2019年93卷1期

29-44页

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How to deal with the high condition number of the noise covariance matrix of gravity field functionals synthesised from a satellite-only global gravity field model?

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How to deal with the high condition number of the noise covariance matrix of gravity field functionals synthesised from a satellite-only global gravity field model?

Journal of geodesy

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Journal of geodesy

相关期刊

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